#Bangkitan Distribusi Gamma Bawaan R
#Loop 1
distgamma <- rgamma(n = 1000,shape = 5/3,scale = 1)
print(distgamma)
## [1] 1.460672141 3.673436565 0.174713485 4.311502263 0.968809165
## [6] 3.400216773 3.431585994 1.438991386 2.353285245 1.403398828
## [11] 2.687273816 0.212938347 2.924461889 1.223961364 0.559792351
## [16] 1.630987019 0.253885816 0.876462091 0.794273366 1.747348117
## [21] 1.542612950 1.107229235 2.941892440 0.562014499 3.281393742
## [26] 0.688659846 3.541552947 0.313710476 1.916253143 2.486940157
## [31] 0.877704644 2.598207698 0.231375113 2.991339251 1.691528721
## [36] 0.489225090 1.310981452 1.529038102 3.188002408 2.284410705
## [41] 5.883036865 1.004530204 1.358428340 0.646193429 1.801075249
## [46] 2.618028619 3.861103653 2.840193566 0.097806260 0.224460015
## [51] 1.417404882 3.399154825 1.384241494 0.686532793 6.540692874
## [56] 3.521250065 2.773086073 1.805035261 2.938291943 0.305806415
## [61] 2.072111076 0.866998390 5.311736315 1.700702347 0.965920416
## [66] 2.230280808 1.173054806 2.304492353 1.225366630 1.523804715
## [71] 10.745670359 3.367326094 0.290215447 1.644381323 1.173399718
## [76] 2.495956085 1.924844819 0.403710766 1.031749021 0.678192806
## [81] 1.202214357 1.912326956 1.760541998 0.858672324 2.697414227
## [86] 1.292760820 4.222534161 1.270523087 0.946999951 1.382335383
## [91] 1.856169954 1.656873776 2.470531447 2.282758675 2.290889688
## [96] 8.838136371 2.925595638 0.834541958 2.306935088 0.883884828
## [101] 1.250971203 1.534405640 1.164229929 1.923093081 3.282682724
## [106] 0.704098838 1.070246416 0.130786739 1.004153120 1.111143796
## [111] 0.664529598 0.627053561 2.427025792 2.163157759 2.091642633
## [116] 1.344562353 1.439337645 1.115111310 1.920674631 2.775801547
## [121] 1.614818153 0.844897394 0.305325841 3.150622030 1.251661587
## [126] 1.552247174 1.142621421 0.088889755 1.622110944 5.921365370
## [131] 1.084687878 2.839702591 1.987761483 0.859391608 0.095955427
## [136] 0.921424940 1.220953075 1.720149797 2.330202939 0.358729956
## [141] 2.366807221 4.462489831 1.022207086 1.841643502 2.520492764
## [146] 0.234094431 0.724258033 3.281346837 1.629541326 1.480074273
## [151] 3.266134502 0.481588346 0.400506423 1.439901229 1.424638240
## [156] 1.865585255 3.004887566 1.414637025 0.703949664 0.336989789
## [161] 0.187210054 3.389337869 0.960605936 0.587934137 1.478231549
## [166] 0.568742539 1.822707118 0.579623625 3.476566382 1.086825066
## [171] 0.682347177 2.341921386 4.684462134 0.006969653 1.451670105
## [176] 0.282765719 2.071962781 1.305337846 0.219377877 2.451451777
## [181] 5.562435806 0.607543743 1.659527742 4.713302323 1.594085361
## [186] 1.601350703 0.262948697 0.281551070 1.294246842 4.209546275
## [191] 3.685653678 0.919151270 3.308937801 2.079841315 1.013137178
## [196] 0.162712987 0.882054567 1.360394297 0.910520531 0.583838611
## [201] 3.521634840 1.176680603 0.088132073 1.381709183 0.866768032
## [206] 1.501040693 2.007447849 1.254419814 2.416576037 0.128645185
## [211] 2.443676895 1.355633473 0.294466400 0.865866845 3.791417852
## [216] 0.478128541 0.042293099 1.176887562 1.871995776 2.762582734
## [221] 0.799955674 1.312707191 1.673469601 0.331594363 0.901349531
## [226] 1.600497388 5.366264045 5.012892864 3.665412428 1.909852581
## [231] 3.732970403 0.497422186 4.150170154 2.484449724 1.475764704
## [236] 0.584112340 0.421389649 2.429220362 1.333591773 2.021713519
## [241] 3.219718630 0.200821450 2.405474056 1.598195627 0.813853471
## [246] 0.813545489 0.294040635 0.466305651 0.021907005 0.765916392
## [251] 1.594811352 0.903918482 0.820829624 2.304003194 3.115490702
## [256] 4.697118526 1.523328199 2.073263741 0.339334810 0.403429005
## [261] 3.046272460 0.815470669 1.112531272 4.519580312 2.048487512
## [266] 0.526225235 0.164312112 0.844661490 1.845783731 1.890235258
## [271] 1.405747070 2.199310585 0.677928370 0.727268809 0.397921862
## [276] 0.923541411 1.594235147 3.221233136 1.613072424 0.219817424
## [281] 1.348559626 0.084201989 0.677662466 1.090529058 3.378324379
## [286] 0.899591527 1.155241688 1.278011636 2.118191444 1.149681872
## [291] 2.369199223 0.366892497 3.262443039 5.444699273 0.981197142
## [296] 0.772208140 3.418531466 0.240759383 0.557590675 3.327775109
## [301] 2.226228497 2.525054683 0.411043421 5.390572318 0.869469346
## [306] 0.555996478 0.968531479 2.654333671 2.571682605 2.687364557
## [311] 0.183853382 2.309551350 2.803888785 5.000323645 0.595499544
## [316] 0.802842935 0.973308786 0.792061531 6.369609158 4.453181935
## [321] 1.528692331 3.208802505 0.352043405 1.660471310 1.382188698
## [326] 0.324786416 0.687201243 3.298342759 1.479501513 2.570226514
## [331] 3.327920641 1.215916982 0.705148784 1.395498406 0.325941348
## [336] 0.736753988 1.141682593 1.004933207 1.601351865 1.978303967
## [341] 1.511298242 0.799632532 1.265201125 0.510058874 2.138559733
## [346] 1.291344693 5.010872082 0.326336211 2.402456985 1.202060362
## [351] 4.204450138 0.587066081 0.121933186 1.354373646 1.940527545
## [356] 1.471147288 3.265069512 1.548062769 1.853494691 0.437665514
## [361] 4.937596853 2.328575448 0.214924495 2.108842657 0.706275383
## [366] 4.181486865 2.494926266 1.051701707 1.324439998 1.051055483
## [371] 3.633801221 3.373264534 0.184615882 0.654451235 0.054413156
## [376] 0.268483212 1.268236597 2.642877782 1.335114040 0.716973214
## [381] 1.467516278 1.832100147 1.316665813 2.955030648 1.016033949
## [386] 2.291817208 4.286514430 1.539307259 1.338928884 0.027849520
## [391] 1.882122008 3.832782508 2.739778778 2.511779957 1.500353741
## [396] 0.238971425 0.181185531 2.139180316 0.686084078 0.717815692
## [401] 1.218972579 8.860020403 2.374283076 2.251275183 0.846606355
## [406] 0.513062993 1.778213058 2.712722902 0.473193241 2.266800830
## [411] 0.267186479 3.588772215 1.111126737 1.653541705 3.826713318
## [416] 0.338841083 1.194046261 0.739283704 3.903818853 1.510958953
## [421] 0.521329598 3.877947192 1.582051928 0.793375861 0.622675653
## [426] 0.290767422 2.684039649 2.281312859 2.347857527 1.919411152
## [431] 0.698655800 2.815579312 1.666528452 1.689204757 1.016645219
## [436] 1.499174023 5.243561456 0.079467750 0.562115415 0.962156899
## [441] 3.821272679 1.073440824 0.182119242 4.901913602 1.337540387
## [446] 1.033113773 2.531438698 1.764969685 1.768543433 1.520751417
## [451] 0.798691411 2.789386035 1.290908692 1.562778171 1.216462792
## [456] 1.771975144 0.402291494 1.216005804 0.691704098 2.548842851
## [461] 5.413191296 0.372714392 0.345061999 3.537823720 0.230723541
## [466] 1.619066138 0.885408921 0.351365147 1.543055459 3.528260160
## [471] 1.265618785 1.336358274 0.632524684 3.395288801 1.938058202
## [476] 2.041700312 0.350193161 2.374875605 1.287251597 0.451941271
## [481] 4.840909338 4.043078871 0.186510869 2.149639759 1.302898866
## [486] 0.077655358 0.623398196 0.618109338 0.789959665 0.519139134
## [491] 1.199483297 0.572445522 0.664154041 1.482239704 0.265589429
## [496] 0.989211090 0.445838466 1.787794452 0.423731288 0.959638770
## [501] 0.529735070 1.689910584 1.322621155 0.411712726 0.314067372
## [506] 0.361355565 1.111002790 4.170220902 1.314000018 0.619828464
## [511] 0.559152334 1.725433714 3.000738781 1.178424923 1.760667290
## [516] 3.286014318 2.469638152 1.408792181 0.131398531 1.663887928
## [521] 1.465417067 1.749227184 1.312760442 2.169173496 0.585112833
## [526] 0.242196243 2.345283154 3.179278134 1.202499516 0.628160827
## [531] 1.437932966 2.670662711 0.747111128 0.754996177 0.006124914
## [536] 1.288002717 3.924160352 1.706837312 3.270258815 0.533413715
## [541] 0.750965432 1.210765402 2.467206007 1.857496979 1.326744404
## [546] 0.461121442 1.914533869 1.256304183 2.537808306 0.373509327
## [551] 2.286559283 0.753696617 2.476702756 0.228034946 1.122529904
## [556] 1.538110155 3.152757967 0.102156016 0.574008016 0.678129990
## [561] 1.664316329 0.198086519 0.769259993 1.817834331 0.714694086
## [566] 1.486863139 4.324145076 1.038889504 0.690713427 0.963123161
## [571] 0.932264475 0.548595663 0.769473437 0.893912276 2.509200997
## [576] 4.651125480 0.540517151 0.279579123 1.882405855 1.754377198
## [581] 4.452989227 3.164756865 0.289797054 0.927580899 1.747203851
## [586] 1.884036526 1.534708781 2.055130349 0.961692393 1.733763477
## [591] 2.495203870 3.872402262 0.605738510 1.328519741 1.028600699
## [596] 1.459828720 0.355048379 2.274648755 0.741827727 1.941770883
## [601] 1.051792317 0.771073874 1.987966235 0.697954725 7.111835046
## [606] 2.862475040 1.691288470 1.333583699 2.559641175 0.678863419
## [611] 1.544584325 1.722401604 0.350640509 0.832433330 1.227111129
## [616] 2.346072316 0.581541954 1.763283720 1.451185698 3.389951306
## [621] 1.946627780 2.771698294 3.325940578 0.390242637 0.182097817
## [626] 0.834345792 2.488271336 3.596917731 0.269429846 1.622674009
## [631] 1.033585687 1.365041926 3.718614941 0.707341000 0.736777279
## [636] 1.209950844 0.719267802 3.087260987 1.131590839 3.046271300
## [641] 1.810366266 3.532941704 1.796733577 0.712993236 1.595198949
## [646] 1.444921465 1.475816290 1.868629660 0.657461021 0.225252034
## [651] 1.426819102 4.342077653 4.493548072 1.532581091 1.866289006
## [656] 2.675710139 2.315413951 2.271382750 2.263136460 0.809478992
## [661] 0.054450265 0.330061800 1.089742895 2.461874296 0.373560953
## [666] 1.257683002 2.487415303 1.024075804 2.096710523 0.052760329
## [671] 0.477062212 0.974978607 0.529442495 2.218659589 3.855608833
## [676] 2.159398867 0.775509250 3.118564560 0.935594170 3.258771794
## [681] 1.047629870 1.250046692 1.311697877 1.864444614 3.149862533
## [686] 0.688680967 4.887111579 1.161105540 0.558454665 0.843552620
## [691] 2.085478618 0.785452954 0.804193580 1.085405636 0.729984848
## [696] 2.509887567 0.716829260 0.215168653 1.645630999 4.188282423
## [701] 6.900353618 2.898161877 3.819473499 2.756920441 0.749076470
## [706] 0.631472107 0.951839700 0.308977457 3.163950815 2.760222256
## [711] 0.972073686 4.141093667 0.729468250 5.149981730 2.724869071
## [716] 3.074300579 0.211187523 0.902794005 1.690988800 0.763062760
## [721] 1.635869180 1.634328994 1.209640316 2.915835683 0.859111380
## [726] 0.614653186 1.481247703 2.268016879 0.232465758 2.151849043
## [731] 9.344434443 1.169370712 1.217741983 2.746389960 0.377255708
## [736] 1.593009695 5.008142617 0.075834807 3.324873970 0.447974545
## [741] 0.261570752 1.167393344 5.684403998 1.118162438 0.431985626
## [746] 2.596073136 3.990231369 1.190000493 1.834855917 0.986641651
## [751] 1.003680457 1.600817802 0.671388829 3.042265149 1.419577650
## [756] 0.917024319 0.420884828 0.527821894 0.618793060 1.185590256
## [761] 0.110448973 1.505160660 1.525731679 0.687281774 1.086907676
## [766] 4.417133533 6.492427598 2.202737460 2.950664528 0.226305341
## [771] 5.119588314 0.208364650 0.904265193 0.675687433 1.617128283
## [776] 1.706244757 1.594941079 0.560526817 0.239827115 2.455861383
## [781] 3.864125366 1.059697115 0.141426255 2.913992158 0.455752653
## [786] 1.409021066 0.651707040 0.069114132 3.709304942 1.388144215
## [791] 1.097973088 0.924451786 0.362866759 4.252857003 0.719392511
## [796] 1.754790866 2.629561774 3.417101601 4.737131568 0.896381623
## [801] 0.965341816 0.442867549 0.573491737 1.290166950 0.264958384
## [806] 0.703013458 2.019749165 2.069838016 1.618124252 2.998869509
## [811] 0.876249882 0.837446856 0.788387795 1.596349355 0.942405897
## [816] 1.121389372 0.413456255 1.371858132 0.860260952 5.203499697
## [821] 1.485845766 3.526754037 4.788025438 1.274104038 2.233814904
## [826] 0.340422986 3.111833692 1.465880483 0.380088260 0.248774443
## [831] 1.653733933 2.882487427 2.361280903 1.027884703 0.014891616
## [836] 1.009489600 1.056653990 0.735848274 1.913119717 0.336279908
## [841] 2.362595196 2.242455957 2.829194831 1.643006700 0.397287535
## [846] 3.286739820 2.493341309 1.239580388 0.993685179 0.796566468
## [851] 4.368757178 0.887624128 1.348228540 3.755154726 0.098648522
## [856] 1.079642192 2.889300561 2.929042325 0.416772072 2.791485901
## [861] 0.899313119 0.264809647 1.222080577 3.862000926 0.667892703
## [866] 3.332586730 1.788144124 1.321178838 1.208441074 0.639098150
## [871] 1.057943829 1.717869304 1.073710451 0.072670831 1.688030425
## [876] 1.558306247 1.298676006 1.437515451 0.722356923 2.038322918
## [881] 4.655684696 2.235910248 0.076009837 5.664923642 3.343837735
## [886] 1.430824603 2.662241421 1.984798788 0.575300343 4.540830793
## [891] 1.426746619 1.445223120 1.583781984 0.159796692 1.581341712
## [896] 0.315134616 0.706892511 1.047547599 0.317641617 1.067814780
## [901] 0.402463952 0.255285862 0.273323482 0.824201845 2.044893054
## [906] 1.662586774 1.460725234 4.235984046 2.388401926 0.636573026
## [911] 2.082903955 1.755389966 0.180191290 0.228138632 5.478375480
## [916] 2.931353941 0.581240496 1.484526788 0.265124796 0.512872471
## [921] 2.753186723 0.339397434 4.629292030 1.391257046 2.306140311
## [926] 2.509530339 3.489190896 0.439816104 4.713738125 3.076601772
## [931] 0.452858474 3.668044715 1.943837943 3.674146290 1.764004266
## [936] 1.251673510 1.065354691 0.456678912 0.795378731 1.612250519
## [941] 2.290408679 2.335736753 0.841644906 2.340877796 1.958831417
## [946] 2.638183946 2.604549908 1.502445237 0.160268397 0.886036655
## [951] 1.080258084 1.321945297 1.851793237 1.800023391 0.699272454
## [956] 1.531823233 0.237093079 2.698479998 2.115143999 0.409409735
## [961] 1.890526903 3.108427456 1.371174614 3.819552743 1.376931046
## [966] 1.816793690 0.406936257 0.850700656 1.222644845 0.720099200
## [971] 2.016677483 3.148746207 1.916859493 0.297662070 5.803218270
## [976] 1.891939165 0.745292896 2.849723584 0.917187406 0.362506295
## [981] 0.704774390 0.857351064 3.639988713 2.848996367 0.568688638
## [986] 0.249592184 1.632079180 2.485258258 5.361959658 5.337462894
## [991] 4.076306801 0.416373060 4.798890535 0.561756320 0.706255867
## [996] 1.763681938 1.133181361 1.433441644 0.786688638 1.393475292
length(distgamma)
## [1] 1000
# Uji Kecocokan Distribusi Gamma Secara Visual
hist(distgamma, main="Histogram of distribusi gamma(1000,5/3,1)", col="lightgreen")
## Uji Kecocokan Distribusi Gamma Secara Formal
ks.test(distgamma,"pgamma",shape = 5/3,scale = 1)
##
## One-sample Kolmogorov-Smirnov test
##
## data: distgamma
## D = 0.026732, p-value = 0.4724
## alternative hypothesis: two-sided
#Loop 2
distgamma <- rgamma(n = 1000,shape = 5/3,scale = 1)
print(distgamma)
## [1] 0.233511797 2.014392229 0.389156253 0.504168311 1.561565361 0.987266683
## [7] 1.680570315 0.488712801 0.981619996 2.595133484 2.942176916 1.157079736
## [13] 0.977110852 0.259476326 1.961559036 1.593621001 1.131173366 4.298543743
## [19] 1.659376830 1.411407405 2.344951954 2.020375722 0.767356382 3.053125257
## [25] 1.536256472 1.089344224 0.578340416 1.576925156 1.124476263 2.713070786
## [31] 3.596987412 0.508413758 1.166987811 0.340569851 3.752096200 1.011756425
## [37] 0.281458781 0.836950364 1.015391165 0.066848234 2.992066041 0.934836619
## [43] 1.391012090 0.823279274 0.756038046 0.827974632 1.690995542 0.454735183
## [49] 2.085097285 0.464011927 2.874106475 1.400881520 3.212700559 1.512318328
## [55] 0.563046100 0.296859885 0.211446262 1.684330210 1.916102853 1.708680472
## [61] 0.956001535 2.939456227 2.231039990 1.259505698 1.077803305 0.178568199
## [67] 2.336556616 2.516669516 0.243960559 0.999406119 0.585250542 0.491491526
## [73] 0.981715531 0.949745713 1.802132040 1.570473242 0.340499842 0.483581631
## [79] 2.294024687 0.294845395 2.521487858 0.740512786 0.894707367 1.747809452
## [85] 0.535585109 5.245924187 0.733909895 1.977381160 0.595848223 0.468235585
## [91] 2.089916993 2.114354495 0.348446087 0.315409720 0.243754121 2.432632664
## [97] 0.824144973 4.320395643 0.355051010 0.206626800 0.610172797 1.978268939
## [103] 0.424310646 1.228428826 2.073725516 0.659066002 0.308030691 1.295258930
## [109] 3.723971845 0.708605508 3.459496409 1.061631750 1.291826586 0.777776126
## [115] 1.650462286 0.051250367 0.476459105 1.525156813 0.254998790 1.253752339
## [121] 1.603159872 2.572103092 0.250061845 1.165983067 0.837850900 1.013961527
## [127] 0.270392515 2.190106102 3.869903437 0.702341216 1.473178780 1.537072217
## [133] 1.150407837 0.784885559 3.561071259 0.637786735 2.499601389 2.056204817
## [139] 0.657775130 1.595642871 1.239770712 0.756257319 1.380140789 2.764216461
## [145] 5.202364385 2.226227688 0.546562450 1.305607835 3.219344789 3.099956742
## [151] 0.883280325 1.429672074 2.156429308 0.258540671 2.819702986 0.883406864
## [157] 0.655096774 0.659950974 2.098352352 0.234279995 0.835879864 0.836546865
## [163] 2.292976097 1.186630215 0.506509400 0.578731798 1.333469023 1.549896959
## [169] 0.066808558 5.890778768 0.596811648 7.717901533 0.308670381 1.540309006
## [175] 1.172322230 0.576914267 3.351042946 0.312034680 0.418500471 1.051296722
## [181] 0.450855862 2.127536927 1.027131337 0.957072659 4.738657140 0.879137242
## [187] 2.537119981 1.270542821 0.929817336 0.396383751 0.419381976 2.182215956
## [193] 4.053223783 0.900673557 1.112323787 3.820442865 2.737471257 3.115942473
## [199] 5.433594741 2.028031213 1.917875334 1.844230857 1.823495770 1.666388108
## [205] 0.845948561 1.190945344 0.462209561 0.734839431 1.366634310 3.747008975
## [211] 0.693068717 0.708665464 1.803998289 3.523814889 0.919120844 1.147655452
## [217] 2.359952779 0.242697980 1.898446358 0.656468765 0.298406863 0.621589409
## [223] 0.326683240 2.955720964 0.809076629 0.316025178 0.080911985 1.642223044
## [229] 0.872380183 1.070804932 1.042231109 0.548574663 1.082001962 2.635494807
## [235] 0.735578573 0.944519681 2.200253452 2.005066367 0.767916235 5.905870367
## [241] 1.823682422 1.593253257 0.999057437 1.146920871 0.890660029 2.934832599
## [247] 2.246774018 1.892953561 0.957089928 1.417083132 1.746261173 3.830120106
## [253] 0.338718781 2.110280605 2.181740536 0.895458581 0.776302386 3.975008687
## [259] 1.400760297 0.214377862 0.995057106 0.803080546 1.250932669 2.850096367
## [265] 0.362694920 2.330859265 2.804658025 0.618066003 0.079072115 0.678840833
## [271] 0.850210719 0.310344552 1.837244541 0.985636966 3.602127818 1.801382668
## [277] 4.052812202 1.512901458 0.832575425 1.156098508 1.350712602 1.781417953
## [283] 1.124341497 0.357475923 3.396834942 2.567178353 0.038107525 2.760073234
## [289] 0.597231648 3.731320984 0.480038961 2.069915350 0.673122559 0.659533999
## [295] 0.857693055 0.786515273 0.254010194 1.990397030 1.968433974 1.431356518
## [301] 3.746774320 3.558244864 0.677828597 3.188185935 1.019797924 1.228111665
## [307] 1.368231408 0.174171193 3.106514419 1.033838573 0.657699146 0.722600453
## [313] 1.740832999 1.372358094 0.298949104 0.937485115 0.424028327 4.901656892
## [319] 1.224397385 2.199257278 2.229615878 1.353823080 2.522521052 1.080593926
## [325] 1.479830778 0.655760423 1.024024039 1.483397729 0.735864116 1.024668591
## [331] 1.106818606 0.895648459 2.947710169 2.407258325 1.441471788 3.277225720
## [337] 0.922963648 2.666554919 2.650927641 1.741596707 0.984226109 0.301083234
## [343] 0.687459301 2.080687929 0.979191418 1.916067482 2.084325338 1.759481676
## [349] 2.259484958 1.438867181 0.193120045 1.665604865 3.120788618 2.722625836
## [355] 2.796341130 1.398555536 1.360803447 0.959821622 0.965026464 1.888842852
## [361] 4.414151814 1.728544998 0.066284217 4.143176236 4.093837146 1.869101179
## [367] 0.858907305 2.844339478 0.844989652 0.362454982 0.812447912 0.150105992
## [373] 0.646994155 0.955947570 0.240976139 0.679365862 2.622741279 4.396006185
## [379] 1.459176574 1.188514533 0.584382116 1.113317075 0.432987959 1.721621343
## [385] 1.327586439 1.985135226 1.095098999 1.699571764 4.110015352 1.556865909
## [391] 1.624984795 0.360604002 3.927545997 0.886486850 0.009963911 1.620535291
## [397] 1.641566323 1.121658759 0.510574395 0.911439254 0.358389177 0.398486655
## [403] 3.455739331 4.688912438 0.739298321 1.044975002 0.294007589 0.612021168
## [409] 2.546696722 0.273458710 0.204024388 2.568323508 0.606162080 3.016550350
## [415] 2.288100863 0.286345101 3.594180508 0.122811266 0.703296558 1.259542188
## [421] 0.458694276 0.607326562 0.431120082 0.586031067 0.567704454 0.431267680
## [427] 2.804481056 0.596124866 4.075279549 0.557347101 3.323890465 1.703986495
## [433] 0.797117600 1.179452661 0.497568076 0.535293970 1.675313186 0.458793455
## [439] 0.520036323 2.390258881 3.017287568 0.792167121 1.193932457 0.424164724
## [445] 0.387318927 0.374891328 1.808212011 2.917429186 1.357990786 0.138961436
## [451] 1.038631040 1.166438305 1.383554253 1.128086555 1.685359968 0.419999947
## [457] 0.790271582 4.058276719 3.151750586 0.840729878 3.131685995 0.175383572
## [463] 2.175320155 0.918226657 0.335268477 6.510312481 1.216083397 9.263377362
## [469] 2.260099075 2.402725934 1.160821614 0.840744830 2.429371002 0.428398648
## [475] 0.785140934 0.661171109 1.735936454 0.651069320 1.072579151 2.073304219
## [481] 0.482271176 3.389516077 0.354926372 0.771622909 1.134140258 0.647208317
## [487] 2.796080852 1.731579745 1.455701059 2.817922027 0.516517991 0.793495696
## [493] 1.958183455 0.052030848 2.052033589 4.418603815 2.236804264 4.049728731
## [499] 5.388146326 1.396373291 2.665061426 2.929650470 1.742085253 2.063064053
## [505] 5.255224161 2.055290769 0.167343501 0.426261569 2.088060155 2.667170835
## [511] 4.116160403 1.740346465 3.175986783 2.580223030 2.858586539 2.811866917
## [517] 2.700176908 2.376518266 0.875513400 1.370652295 2.890622706 2.916581506
## [523] 2.775978019 2.136423748 1.478689128 1.777536618 0.323171187 0.472422793
## [529] 1.073698912 1.088483419 0.195112794 3.632717439 1.584970824 4.917357817
## [535] 1.704773575 3.167267398 1.167245026 2.063870478 0.268313173 0.518421048
## [541] 0.355806100 2.130721406 0.681172862 0.400175339 2.491079158 2.438737014
## [547] 0.112305882 3.986816564 0.144549650 1.310026865 0.714602597 1.046879577
## [553] 1.460191125 1.082231786 1.242534313 0.933368403 1.777737105 1.732978858
## [559] 0.185881074 2.199086955 1.850659555 0.550984997 1.742084043 2.172401310
## [565] 1.833285525 4.572615142 0.379231984 1.613330512 0.175415221 1.218552640
## [571] 6.029031519 1.762696993 1.246546496 0.705305226 1.177325647 2.653696180
## [577] 0.084333343 1.444709850 4.243439665 0.774124164 0.823524086 0.857868203
## [583] 1.243558561 3.359728941 1.359002448 2.174489001 2.761924208 2.549934841
## [589] 2.542181582 0.666592176 2.695960718 1.030540591 2.843760260 0.670595892
## [595] 0.519203766 0.343122928 2.233584252 3.210954206 1.565791660 0.419230893
## [601] 2.276383163 3.565427896 3.085041444 0.895848709 1.512128309 3.021119146
## [607] 1.895187231 1.746089468 0.476429478 1.237169366 0.609578278 1.623020566
## [613] 1.359445612 1.629343552 4.460129886 0.607827850 2.051100144 4.234731993
## [619] 1.211186602 1.031489637 2.326630685 1.921700530 0.129932917 2.702166716
## [625] 0.037628244 3.935074350 1.037912544 0.445993209 0.680126743 1.086332984
## [631] 3.170287698 5.079747652 1.624241483 2.939390954 0.745850601 6.110763075
## [637] 1.419797163 1.569322192 1.740374999 2.414795313 4.418519194 1.032557808
## [643] 1.469934967 3.278394869 0.237675564 0.549624592 2.729705843 2.758910983
## [649] 2.719965784 2.661347926 2.025762527 2.299792284 0.312449144 1.542642788
## [655] 1.231762498 0.179721026 3.904920211 1.683303929 0.851281563 2.368016625
## [661] 2.435031894 3.376974849 0.589947717 0.342661322 0.948917902 1.499244258
## [667] 1.928294787 3.821711765 2.050074515 3.933190821 2.942201721 3.539007214
## [673] 0.351379012 0.287511840 3.625277512 2.048064065 1.034469659 0.076404363
## [679] 1.986079806 1.118620488 2.061426012 1.514780131 0.861570811 1.077532672
## [685] 0.665490906 0.889427377 5.165669738 1.375502153 4.561870462 0.589112827
## [691] 1.163784192 0.816761961 1.169740200 1.119161558 0.998174766 1.075796282
## [697] 3.154855014 1.419308936 2.249502980 3.462037890 0.888763655 0.156477620
## [703] 1.572931788 0.667740319 1.461625683 0.800966624 1.594971030 4.687613027
## [709] 2.339163339 0.401032561 0.837058719 1.498642819 3.066266257 1.350115079
## [715] 1.011023474 0.137926256 0.765268434 0.655210060 0.460164373 0.556105234
## [721] 2.311613399 3.695529993 3.082332776 4.179225613 1.654176603 1.052294406
## [727] 0.722487608 1.903642267 3.511464241 2.189535793 1.285066928 1.965635380
## [733] 1.203282436 2.351030611 0.931485545 0.618644029 2.372873763 1.527925039
## [739] 4.931399016 1.345125392 0.143808231 3.928294416 1.227002320 2.447515574
## [745] 0.480421815 4.168547691 0.413968804 0.291196110 3.886466512 4.483932577
## [751] 1.594067221 1.061247800 0.197239475 1.472038878 1.320753559 0.243941519
## [757] 2.005943482 1.329956713 2.705527706 1.292085373 1.766184073 6.411547001
## [763] 0.128782558 0.728544990 3.112189880 2.263556562 0.495908626 0.765077480
## [769] 1.062396174 2.373104649 0.754501677 4.370382140 0.135586795 0.804372835
## [775] 0.703465040 2.530076000 1.164041870 0.884707251 0.531092738 1.418909461
## [781] 0.267975187 1.304843185 1.324320161 0.686632054 4.311368414 0.573376708
## [787] 2.135250917 2.192801738 1.443767695 1.879179883 1.852768883 2.875042051
## [793] 2.266837325 6.811002817 2.939258207 3.152644036 3.904439876 0.143272646
## [799] 1.616770630 1.112576648 2.081870961 3.131316534 1.119040645 0.593181033
## [805] 0.808037691 1.934775946 3.266337596 3.414577835 4.402136203 1.899918664
## [811] 0.707530117 1.431678814 1.311278069 1.110394982 1.722868897 0.189580874
## [817] 1.983514406 1.440396706 1.963188620 4.500440633 2.937961524 0.395628206
## [823] 0.931395523 1.191337194 1.580673328 0.284610635 0.911319137 0.734039767
## [829] 1.356057928 3.565119659 0.873624393 1.468159303 1.309431338 0.863196610
## [835] 2.916802376 0.773786416 2.944440856 2.492883354 0.950704401 0.908913623
## [841] 1.349339140 0.612012548 0.749279893 2.101189774 1.264623872 2.140864337
## [847] 0.231989814 0.317144018 1.394560115 1.464737866 2.199027838 2.971076477
## [853] 0.019535352 0.477137188 3.071707032 0.447719087 0.344614714 0.202125073
## [859] 0.990760172 0.300119055 2.097295829 2.008321681 1.990993335 2.504485402
## [865] 2.919155941 4.304191779 0.603679040 1.833974815 0.391898950 1.050966807
## [871] 0.723953162 3.971229616 1.335835672 4.557229048 0.676279611 5.824564769
## [877] 4.118128704 2.622751073 0.432753078 1.425668957 2.537801997 4.326888005
## [883] 0.810681143 1.295623564 0.576520370 1.337820410 0.982234929 0.468916112
## [889] 0.947218294 1.350106158 0.695415670 1.390055277 1.128595149 1.493386278
## [895] 1.137880506 0.960450529 1.805294381 0.676368119 0.553813748 1.297770818
## [901] 2.833985473 4.645265991 1.685547355 1.295015340 0.446020537 1.836552651
## [907] 1.163312197 0.063417758 1.160938925 0.156722285 1.911401915 0.653730344
## [913] 0.914198589 1.053005019 0.893039019 0.270762605 4.009050903 1.187174472
## [919] 2.613715637 3.025662546 0.655728192 1.832313233 1.574398489 4.263451984
## [925] 0.436534533 1.589365186 0.870406299 0.104073410 2.636056913 2.538569184
## [931] 2.288287734 2.418632712 1.286160820 1.990745558 1.048721087 0.140846381
## [937] 2.425463904 0.509511825 0.891306989 2.791561629 0.484389630 1.665409637
## [943] 0.654488725 1.382250065 0.304118822 2.078216783 2.073960326 3.443725868
## [949] 0.429928266 1.430243957 3.669742740 1.089218005 0.068835290 2.564294417
## [955] 0.610721612 0.773729248 0.234476534 0.929940052 0.614512493 1.101413002
## [961] 1.153462887 0.987932509 1.485136779 1.494244401 0.631367683 1.664151921
## [967] 0.294993183 1.366723282 4.795776455 1.184743820 1.590350771 3.229217980
## [973] 4.094090219 2.000180015 0.110904570 1.108154832 0.623317744 0.253851611
## [979] 0.671671011 1.134593580 1.501766255 1.619872978 0.721713846 3.384020479
## [985] 1.156101886 1.088873494 2.289828418 0.813881942 3.132216393 0.932560344
## [991] 2.160959033 0.799374720 1.133684355 0.750642766 0.667332818 5.646855195
## [997] 1.864250550 2.056243837 1.746059541 3.295433206
length(distgamma)
## [1] 1000
# Uji Kecocokan Distribusi Gamma Secara Visual
hist(distgamma, main="Histogram of distribusi gamma(1000,5/3,1)", col="lightgreen")
## Uji Kecocokan Distribusi Gamma Secara Formal
ks.test(distgamma,"pgamma",shape = 5/3,scale = 1)
##
## One-sample Kolmogorov-Smirnov test
##
## data: distgamma
## D = 0.024086, p-value = 0.6076
## alternative hypothesis: two-sided
#Loop 3
distgamma <- rgamma(n = 1000,shape = 5/3,scale = 1)
print(distgamma)
## [1] 0.46716960 2.34864011 2.77847465 0.81222502 2.31193411 1.14735304
## [7] 4.94216271 0.74163946 0.09825765 0.52628185 1.49429424 0.50271137
## [13] 0.31220760 0.61498251 2.44468985 2.07988994 0.49818589 0.62805569
## [19] 1.63221201 0.75918021 3.40865306 2.25743648 1.33800481 1.44253160
## [25] 1.38995136 1.48910477 1.71136554 0.43756274 0.72156989 2.58255592
## [31] 0.17167389 1.78058652 0.74829650 1.67892682 0.42085516 0.59467776
## [37] 2.96453263 0.92561470 0.75042542 2.49690322 3.41555198 2.38589582
## [43] 0.31247682 2.06612285 0.06907655 1.91300609 1.25385487 0.84847282
## [49] 1.15613334 1.54800130 1.87871387 0.94746972 0.67373865 1.63404482
## [55] 1.57263685 6.69913654 1.59504986 1.91867786 1.05746484 1.07068203
## [61] 1.55940780 0.32731583 1.63416476 3.37882034 0.82301756 1.44696708
## [67] 2.10857540 1.33170413 2.22172420 0.65074130 0.33528458 1.51420638
## [73] 0.80286757 0.89751057 5.23634493 2.53528621 0.52938816 2.25279560
## [79] 1.34876596 0.99927592 1.28449339 1.60234404 5.19181125 1.53442883
## [85] 1.17798232 0.29477893 0.82342690 2.63093738 6.58489080 0.44931142
## [91] 0.99835196 1.85827898 0.81318671 0.70072051 0.60734329 1.79608645
## [97] 0.42958627 0.68439668 2.02745518 2.14124140 1.58512240 2.02264763
## [103] 0.08970899 1.51025530 2.08100427 2.27660519 1.33867986 0.25310722
## [109] 0.84978679 1.61308530 2.09895035 0.68736238 3.02440057 2.66390263
## [115] 0.48683005 0.27742797 0.98661494 1.02859201 0.63880254 2.55019445
## [121] 0.18804898 1.27869419 3.17948124 0.60260474 0.61460890 2.10253041
## [127] 0.91842993 1.23164396 2.45125559 0.86987983 4.02846697 3.71141480
## [133] 2.16465370 0.46523040 3.04592118 5.67384662 2.73500208 3.05229234
## [139] 6.46100647 0.64732376 1.21779509 0.71374853 0.67032111 0.81213675
## [145] 1.69081896 0.22265733 1.15883426 1.35510362 2.45124109 3.59514363
## [151] 0.24804933 1.75143229 3.42947698 2.11998531 2.89492585 1.66219351
## [157] 0.21229821 0.44017012 3.98668534 1.54120445 0.52768886 1.79450037
## [163] 1.82670284 1.96820091 1.05850639 1.53300018 3.08962924 0.40841216
## [169] 4.72460116 0.63606245 1.95719256 0.46068695 1.66317028 2.86985159
## [175] 0.81988924 0.69759787 3.13128793 1.67744839 1.50864660 1.77573468
## [181] 2.32076573 1.91132407 0.61186345 2.25051796 4.08524798 2.36455009
## [187] 0.93462670 0.13496685 1.53438449 1.37281239 2.32639858 0.20305005
## [193] 1.97295798 0.87004809 1.54872938 0.30898405 0.30420023 0.77999799
## [199] 0.87837689 4.17046930 0.46666716 0.38728163 3.37175104 0.52873620
## [205] 1.65695438 1.55235177 0.61910786 0.48416496 1.93750728 0.80797411
## [211] 0.09107006 1.76174358 1.57737305 3.20610107 2.92718415 2.69481670
## [217] 2.89212943 0.95398069 2.87085798 1.18563623 2.00113907 0.37543821
## [223] 2.27510285 0.15159934 0.91275007 1.16001440 0.66100543 0.47259240
## [229] 0.48939740 2.87979158 0.71457238 0.92267262 2.61402887 0.97369860
## [235] 2.69538743 3.52026460 1.34484476 0.58832867 2.34194934 0.73553170
## [241] 1.83218795 1.09495678 1.92617277 0.48236027 0.74100226 0.71193060
## [247] 1.74250540 0.52143688 1.34480671 0.22050966 1.01310109 0.77904529
## [253] 1.83511952 0.26311975 0.37128498 1.16066561 1.17667126 0.50710101
## [259] 3.71403283 1.04309845 0.87093147 0.09144914 0.86459645 0.94812324
## [265] 1.09864565 0.71787293 2.47042465 1.37677997 0.33932810 0.69210226
## [271] 0.72469522 1.66269563 1.01455816 3.07515679 1.27905241 1.66748229
## [277] 1.16652050 2.65527550 0.44037330 0.25604151 0.94185450 1.89624598
## [283] 0.54963637 0.48727028 1.16483232 0.58475322 0.23812787 1.98552192
## [289] 2.85831909 0.58664043 0.43021529 1.22449097 1.38345904 6.49315819
## [295] 1.09109357 0.47092538 0.88225897 3.30188847 2.18945243 2.53750881
## [301] 1.07073310 1.76800444 1.00640652 1.20779064 0.96135946 3.84094653
## [307] 1.48404238 0.88109540 0.60640841 1.03421986 0.52490994 1.60926337
## [313] 0.69694816 2.06086298 1.77750959 3.40695901 6.00809743 2.49387521
## [319] 4.14640974 0.35709553 4.57435692 0.80618677 2.64882435 1.14358764
## [325] 2.97465086 0.48966322 0.91421288 1.55120408 0.58132463 6.97959144
## [331] 0.32378121 0.13608468 0.55834786 1.55984832 1.54246318 2.91844054
## [337] 1.45677780 2.38468579 1.86567171 1.21289705 0.37644567 0.96261392
## [343] 1.72911390 1.44210224 1.39163288 0.22251001 1.26112144 2.37743668
## [349] 3.52121254 2.20561122 0.67269134 0.82444571 0.54033874 1.75649680
## [355] 0.47488456 0.10511642 0.31394536 1.53396762 3.36545236 1.48307002
## [361] 0.57895098 0.61643523 1.13942476 1.34856277 1.47150087 2.23466690
## [367] 2.97324549 0.93219267 1.19844373 1.22815274 0.25860725 1.62746772
## [373] 3.43301563 1.28256520 1.08317598 5.83587419 0.14792445 0.61225494
## [379] 0.83239551 2.07394226 1.14002629 2.14789103 1.33215759 4.73574734
## [385] 3.17748914 1.18408932 4.54675551 1.74000633 1.13267478 0.22132191
## [391] 1.93103279 0.48006351 2.28096200 2.16370742 0.53685764 3.59365988
## [397] 0.70509288 1.96971862 1.38705758 1.74427451 0.50500178 2.09459709
## [403] 2.48584237 1.27012152 0.33022917 1.67989488 2.37076837 1.29111094
## [409] 1.58656100 0.61483369 1.05522378 3.60190143 1.31300123 6.50111281
## [415] 2.90384088 1.39359034 1.71765992 0.77189141 0.90298731 3.69939139
## [421] 0.21171159 4.91525503 0.43558315 0.67189762 1.87533392 1.99587303
## [427] 0.75460626 0.18644718 0.57322217 2.25057044 2.55055162 1.53516658
## [433] 0.41753410 1.18838924 1.42985355 4.06622839 3.40372887 1.01615639
## [439] 1.02253171 1.59135478 0.59416191 1.72199051 0.79078633 0.45854613
## [445] 2.67597337 0.63090548 0.72566020 0.79726905 0.61097320 0.47398324
## [451] 0.45358250 2.47291269 1.09031966 1.54346511 1.60320370 1.60917015
## [457] 2.67010176 2.15183013 1.24285128 2.77107035 1.40426018 1.36476824
## [463] 1.00833837 1.45803578 1.28425172 1.25480049 0.33294317 1.09346466
## [469] 2.12463574 1.81198113 3.30195374 1.46757135 1.13018718 0.69921888
## [475] 1.23523051 3.11069489 0.28827691 1.83295223 1.66345778 0.77279106
## [481] 0.55538902 0.40194497 1.18823816 0.82499612 0.12319484 5.06624031
## [487] 0.90522190 3.93453316 2.30026195 0.65177998 3.43882763 0.64112829
## [493] 4.31344897 3.53801200 2.25257317 3.67853487 0.26028293 0.99677217
## [499] 2.43362321 1.38286150 1.29715658 1.33588225 6.23910666 1.36639789
## [505] 2.10783580 0.98188851 0.72088969 1.11028181 0.35992776 1.34852321
## [511] 2.38762144 1.95928364 0.64786656 1.02168558 0.66203645 3.06016205
## [517] 1.70233581 2.06218105 4.44318508 0.66116482 1.18955393 1.22382032
## [523] 0.12501052 2.60122398 3.29232014 0.27487762 1.86852499 2.35420210
## [529] 0.77623532 0.99669386 1.38056080 1.60325362 0.88660631 5.23447422
## [535] 1.94923885 4.24271168 2.23777093 2.36312383 2.90773779 0.85046044
## [541] 0.51718506 0.99659741 0.20597098 0.49607747 1.52722796 0.98445109
## [547] 2.96366068 0.52152992 0.28833978 1.25883038 0.56644627 0.03001204
## [553] 2.19495170 2.12354960 1.94565821 1.22376013 2.01563511 0.51432355
## [559] 0.55545153 0.27967391 0.13293628 2.26753961 1.41004454 2.47081043
## [565] 1.81507259 0.78337499 0.07338925 2.08164551 1.82094652 1.24263762
## [571] 1.51459771 1.64284256 2.40884636 3.19484338 1.13473428 0.91794081
## [577] 2.16151922 1.17979921 1.76684826 0.71928386 3.44394246 2.43096777
## [583] 3.97336397 1.75327379 1.32395533 2.71199813 3.79235926 0.07538681
## [589] 0.91547153 1.01631314 4.51280280 2.34524266 0.37545143 0.56042228
## [595] 0.64008314 0.36961370 1.89274535 2.31139443 1.14915688 0.39657151
## [601] 2.51203162 0.44206992 0.87290496 1.94890926 2.38182733 0.91878936
## [607] 0.39767703 0.56467130 2.09249417 2.46135787 1.22202860 0.96773668
## [613] 0.15964174 2.23769369 1.14637359 1.67669193 2.28588880 0.44885983
## [619] 0.85921343 0.28717035 1.43553645 0.75365800 2.81688406 0.59424066
## [625] 1.58604016 1.52918012 3.62522532 0.76564165 3.13171902 5.55763594
## [631] 1.39147640 2.05527279 1.12099480 3.10642257 2.29300886 1.82059006
## [637] 0.72470275 2.09184283 0.70557209 2.74002543 2.43485030 2.78233509
## [643] 2.44570859 0.51141935 0.68560854 1.16576327 0.16740035 1.31919905
## [649] 3.30974875 0.80316601 2.96124845 0.53197876 0.47867141 2.73485139
## [655] 1.36006061 1.90737268 1.64830752 0.26980250 0.99031574 1.85914759
## [661] 1.69225208 1.94088812 1.92872567 3.44704790 1.72494603 0.63750657
## [667] 2.35185276 1.95740785 1.99343755 3.10262495 0.68839944 0.77741632
## [673] 4.36242613 1.68823001 0.71181706 0.97634624 1.19582560 0.74119373
## [679] 1.46158722 0.33018868 3.05846419 2.11902058 0.91359706 0.18901615
## [685] 0.82031904 1.44049501 0.85749686 13.92039116 0.50935918 3.65186131
## [691] 0.30752317 1.75331537 4.67896010 0.62152373 4.69590735 3.18602217
## [697] 1.47937798 1.80250543 1.00537191 2.79055954 0.96220594 2.00069369
## [703] 1.43412046 2.24783450 2.12180309 0.08224947 0.27712177 0.15553538
## [709] 1.10372221 1.15854879 0.76679551 1.48860200 2.10696249 2.07743561
## [715] 0.56576077 0.59144893 1.06177753 1.47098432 0.66458960 1.33531416
## [721] 1.92721314 1.46226628 2.52459243 2.62605533 3.18383363 0.14299756
## [727] 0.90945064 0.33817614 1.24985005 0.53164859 2.86448179 0.39637313
## [733] 3.31042533 3.37402553 1.93957980 0.11930704 1.18935204 2.04952570
## [739] 1.61838858 1.70719289 1.73325056 2.38904568 1.81037603 0.52260687
## [745] 1.42273725 1.40374615 1.13095552 1.05326735 2.91878706 3.54363947
## [751] 1.54941640 0.69521863 0.97119301 2.81681145 1.42773227 0.57187233
## [757] 3.79655451 1.93855442 1.06601216 2.72671861 1.41457279 2.28829668
## [763] 0.42967590 0.57414475 1.14785394 1.27612411 1.84406439 2.06609342
## [769] 3.90150916 1.25613823 0.64035947 0.89627282 3.62876929 0.84712069
## [775] 1.58297929 1.05489046 2.83746637 0.62206580 0.95979200 0.05731136
## [781] 2.02576819 2.71976308 2.30569800 2.08572673 1.34125173 0.24673584
## [787] 1.90631281 0.93139704 1.16358601 0.95959426 0.26088311 1.00250912
## [793] 1.45083997 0.80978141 0.67734684 1.41392207 1.82581460 1.24876796
## [799] 3.23640419 4.13197694 0.57424216 0.26493656 0.48643823 0.09514357
## [805] 1.91351203 1.75014529 1.44073197 1.06061515 0.56841787 2.18259311
## [811] 1.83362405 1.22399877 2.54126784 3.15111012 0.98155648 1.62243818
## [817] 1.20910439 4.42237421 2.09084467 1.30093179 7.09588872 2.55437513
## [823] 5.01333308 3.30484716 1.30513779 4.59564896 1.87117516 1.74214321
## [829] 2.92067004 0.98621603 1.72270930 0.63427379 1.82659294 2.02731490
## [835] 3.94783489 1.12354700 3.07601796 2.42024590 1.00933876 2.13708030
## [841] 0.80748275 1.62677006 2.10343968 1.43786777 2.93438107 12.18721769
## [847] 3.67682558 1.04411237 1.53458505 2.59532230 0.24474734 0.21491988
## [853] 0.79956923 1.34541343 2.28335785 3.04732947 1.10740125 1.07277362
## [859] 0.33715334 1.02692848 0.74624874 1.27566623 2.02807950 2.46225499
## [865] 2.22732992 0.44624555 0.76266118 0.73769531 5.94406737 0.75876047
## [871] 0.97143749 1.25682454 2.32238433 0.68824957 0.76915973 1.43889408
## [877] 0.36819311 3.77028506 2.63507835 2.68749074 3.54057574 2.72555960
## [883] 3.13213077 0.69856341 0.61743789 6.34556802 1.55046666 1.54594580
## [889] 1.46936572 0.30535589 1.17260518 0.53963207 1.68933758 0.08162044
## [895] 3.30363796 1.37357970 0.87877465 0.99518828 0.40427052 1.87346465
## [901] 1.66999461 2.14101043 1.26113275 1.42463396 0.13823609 0.40984760
## [907] 1.62513332 2.37541839 0.43452692 3.57052439 3.18989734 2.79786663
## [913] 1.65958747 1.40458168 2.13648727 1.62005201 0.15559898 2.73305121
## [919] 0.38349588 2.02058898 4.66347283 2.04327247 0.44851215 3.22630616
## [925] 3.30918633 0.30413891 0.91266957 2.73379629 1.81884012 0.05054918
## [931] 0.61385294 1.17272728 1.47068592 1.28324638 0.88430166 0.36741567
## [937] 1.15650093 0.27999118 2.14138728 3.48620293 1.48100164 3.16958726
## [943] 2.08891809 0.45643862 0.22499289 1.60991578 0.84492680 0.85146594
## [949] 3.36007547 2.40474472 0.25317878 2.50489490 0.29567896 1.81528194
## [955] 2.44361415 2.94965833 1.17926129 1.37692140 1.20727189 1.97161870
## [961] 5.53293856 2.85382056 2.54113490 2.00527450 0.90663719 0.72508813
## [967] 2.24470750 2.19830945 0.78227890 1.99861590 0.50512848 3.80364330
## [973] 1.60766560 1.74206327 1.68566541 0.52411356 0.49614263 3.80538951
## [979] 0.63460415 1.39801624 2.15829617 0.89973186 0.99831685 0.89827404
## [985] 2.67773164 0.05745039 0.23322933 0.18819757 3.09282088 2.91396944
## [991] 2.43600831 1.86447137 1.73864085 1.60417099 3.70438343 0.75515826
## [997] 0.37356725 0.27355998 2.65712308 2.03175913
length(distgamma)
## [1] 1000
# Uji Kecocokan Distribusi Gamma Secara Visual
hist(distgamma, main="Histogram of distribusi gamma(1000,5/3,1)", col="lightgreen")
## Uji Kecocokan Distribusi Gamma Secara Formal
ks.test(distgamma,"pgamma",shape = 5/3,scale = 1)
##
## One-sample Kolmogorov-Smirnov test
##
## data: distgamma
## D = 0.020911, p-value = 0.7744
## alternative hypothesis: two-sided
#Loop 4
distgamma <- rgamma(n = 1000,shape = 5/3,scale = 1)
print(distgamma)
## [1] 4.67114267 2.71867704 0.85036877 0.15920368 0.39416996 0.48090399
## [7] 2.00008424 3.67585577 0.73465872 0.55111944 0.28423734 1.18794842
## [13] 0.75780495 2.19008313 0.44749195 1.43956627 0.49963270 0.17056715
## [19] 0.23824942 0.06342667 0.76810753 2.76382261 0.70583979 2.04195326
## [25] 3.35967276 3.94889935 1.06955842 3.28357380 1.14070280 0.29436601
## [31] 2.11553728 4.40530334 3.17173154 1.82791901 1.75194537 1.19318454
## [37] 1.51352569 1.62245776 2.15834717 0.19715771 0.42661040 0.03526625
## [43] 0.37987104 2.17556242 0.75162548 1.23719859 0.61144723 1.22613899
## [49] 1.72115816 1.36648562 1.36616734 2.82315408 1.50388254 1.45054914
## [55] 1.41953104 1.79208431 2.65224947 0.87112686 0.11121353 2.95922673
## [61] 1.88053381 1.90523078 1.89170362 2.37498142 1.49712165 2.37494794
## [67] 2.87584147 3.07696039 0.68465561 0.72132482 2.15188301 0.61561444
## [73] 4.24435859 0.94011957 0.26464401 0.63271709 4.08033636 0.06965950
## [79] 1.64329350 1.48026546 0.59623579 1.58842152 0.41164810 0.88817991
## [85] 2.36620396 0.46351883 3.20439395 0.32390068 3.50026149 1.13370792
## [91] 0.29607892 3.08975976 3.12399342 2.25829613 4.14215924 0.42103267
## [97] 1.12970870 0.55053834 2.73228719 2.12512836 0.67055336 1.20342734
## [103] 3.40827769 0.17617974 2.54037494 1.72804146 1.28923628 3.79896790
## [109] 1.68735159 2.76950637 1.69967612 3.45410315 0.98469474 1.89500362
## [115] 0.37264679 1.75621739 3.14159176 0.41226620 1.32175662 1.92894672
## [121] 1.88273635 0.89674425 2.60269614 1.59650727 0.98935471 1.34788803
## [127] 0.51131894 0.33415432 1.07343737 5.97171550 1.68038720 1.52603096
## [133] 0.40672125 1.82943919 3.64265738 0.80264717 3.22672356 4.54881963
## [139] 0.14599427 0.81643144 4.78001155 0.03834950 0.37281630 0.28007812
## [145] 0.92045430 1.23690899 0.50804882 3.72574227 1.20372971 0.09516812
## [151] 0.83671559 1.93525352 1.14991119 1.86522745 1.72000588 1.33136250
## [157] 2.46362837 0.76528631 2.14806497 1.27153911 4.68823243 0.09508392
## [163] 0.77954762 2.36745180 0.74855343 2.91890673 2.15674766 3.49808987
## [169] 4.14285914 0.66472335 0.61340904 1.17146969 1.10456183 1.32838250
## [175] 1.22035025 2.38227513 0.97102617 2.35123595 0.93281804 5.53435152
## [181] 0.48195090 0.98756453 3.15585304 0.14219059 0.70070310 1.33080703
## [187] 1.43146846 2.21963541 0.86349878 2.81036458 2.63872660 0.53897115
## [193] 0.91860196 0.23020704 1.38305043 1.04808529 1.62401386 1.11992443
## [199] 2.79006055 1.05522985 2.49753408 2.36952642 3.09145146 1.83169581
## [205] 1.04357418 1.57247409 0.51135592 3.76899107 1.56960034 1.20968546
## [211] 2.04802680 1.63887531 3.87626126 0.33745432 2.50785082 0.44911017
## [217] 0.49544227 5.47169062 0.45945339 1.77137830 0.07356991 4.23577415
## [223] 1.30095128 1.00093856 0.62921568 1.19939302 0.40936333 2.07857727
## [229] 2.29292392 2.69643183 2.71462828 0.33484459 1.47496705 0.10796090
## [235] 3.83361268 1.78065821 1.17970834 1.08986960 4.68900890 2.78916619
## [241] 0.59880999 1.85655573 1.58194773 0.17639359 1.42790711 0.76756541
## [247] 6.82695902 0.64528180 0.31851093 0.78637326 0.43497038 2.69165267
## [253] 0.63982176 1.19932237 0.64431255 0.86240789 2.22308808 1.76605766
## [259] 2.37132082 1.65283463 1.64044637 0.97477278 1.94307238 0.72775237
## [265] 0.95703945 1.33703994 1.36659177 3.21770744 5.24715071 1.50889059
## [271] 1.91709293 0.97056317 0.37012045 1.10031170 3.09368364 3.28047466
## [277] 1.92819363 0.66397429 2.86837105 0.96470451 1.10957946 1.01739267
## [283] 0.46353264 1.74955803 0.27938334 4.30877219 1.54310448 0.94736588
## [289] 0.96987219 1.55657191 0.89363446 3.30182879 1.60478516 2.65531851
## [295] 0.46322595 0.97683602 1.10152452 3.38005400 0.61807380 0.47105488
## [301] 3.68166254 1.95152892 3.36089120 1.69864869 1.62156639 4.38609293
## [307] 1.12753678 3.66094365 0.48299009 1.72113606 0.32899125 0.65381342
## [313] 1.14564145 1.12958120 2.55780162 1.31778179 5.13203492 1.44241580
## [319] 0.31884291 0.21470139 0.96375332 1.52639676 0.42522205 4.36954881
## [325] 0.19905184 1.77972442 1.18998923 0.19855989 2.41296213 0.82419750
## [331] 2.12315123 3.06268234 0.60309466 2.44936845 0.06367677 1.90357891
## [337] 2.39512668 0.58790209 0.48322871 0.49939692 2.42868183 0.43884288
## [343] 0.82959674 2.81749878 3.77826761 1.44250891 1.35691075 6.66649454
## [349] 1.35214737 1.35032769 1.74237011 2.29926905 2.06845846 0.57347341
## [355] 0.32396993 0.14897827 2.41503031 0.77843608 2.20115597 2.24625435
## [361] 0.69471582 1.35575911 2.57123404 1.21007763 2.47349181 0.30672031
## [367] 0.74298191 1.24802865 3.93174323 1.62720544 1.31557908 0.47497038
## [373] 1.62169788 2.09676222 1.43659024 1.35905896 5.24303591 2.65307216
## [379] 1.05801667 0.28039361 0.72586476 1.34481378 0.02611256 1.24952511
## [385] 2.03668086 0.83441304 1.39211315 1.45605464 2.03087045 0.69375316
## [391] 1.02963455 3.02977570 3.62170982 1.62741360 1.20714470 1.30613264
## [397] 5.00837978 3.83702274 2.35713751 0.60012275 0.51507368 1.91912773
## [403] 2.67085211 1.92054798 1.42247219 0.81342896 4.25881548 1.86694935
## [409] 0.57649339 2.45898842 1.59700702 2.74976699 1.76769431 2.48720050
## [415] 0.34382599 0.88344871 2.52796372 0.88586165 4.68294225 3.90773112
## [421] 1.04343709 1.60978699 2.26323463 4.83683222 2.68687203 2.72421704
## [427] 0.44841399 1.05978390 1.15664675 0.30186761 4.19599314 0.50942646
## [433] 1.09005410 1.34750725 1.20323385 0.33585642 0.96440517 1.04042824
## [439] 0.75671895 2.00330670 0.85250627 0.99926511 2.54376821 2.87081858
## [445] 0.41847754 2.74656544 4.91551506 0.33772534 0.29847887 3.52584540
## [451] 1.62244127 2.96750176 2.06621119 0.34158072 3.61524112 0.45951656
## [457] 2.59724329 0.50738355 2.37716821 0.54323542 1.23386960 0.97744301
## [463] 0.60631663 1.34344151 3.13101810 2.11934605 1.67517719 0.28122180
## [469] 1.58200120 1.63553744 0.65365734 0.20121932 3.30828667 2.88862889
## [475] 2.90063250 1.14311948 3.48982003 4.24298882 3.45552460 0.17817234
## [481] 1.89604950 2.06315090 2.88218652 1.02143106 2.31662953 0.60773207
## [487] 0.25746482 1.43353987 3.65050940 1.38638729 2.11498804 1.29647876
## [493] 1.70060664 2.75511440 4.80060151 4.49974947 1.03017761 3.16740048
## [499] 5.14861291 0.65119820 1.76814672 1.79301784 1.49027763 2.05289751
## [505] 1.88113300 0.19836452 1.81037636 1.35039211 1.68843709 3.14313295
## [511] 0.61313853 3.02426389 2.25448694 1.92514348 0.46547883 0.64311981
## [517] 0.89397442 0.77269031 2.67847824 1.80270743 4.53866763 2.22379180
## [523] 3.85328082 1.48835582 1.77808914 3.86014003 3.61238559 2.56372685
## [529] 0.91638861 3.43527236 0.44135591 0.33185987 0.25650733 0.83594932
## [535] 1.60778773 0.60729229 1.28715208 1.48212579 1.96128199 1.24309380
## [541] 1.01310542 1.50512502 0.38775140 2.69339620 2.49051613 0.86886584
## [547] 1.25758214 4.16679365 0.71391430 5.24547824 4.10331154 0.34651653
## [553] 3.44420532 0.13754691 2.80750790 1.44787207 1.73152704 2.76172428
## [559] 2.00358174 1.31393245 4.07444961 1.37736004 1.55656250 2.32743257
## [565] 1.73793179 0.17886663 2.61924320 1.68156537 0.22227235 1.04639866
## [571] 1.00017142 3.64854260 3.64280194 0.70114158 0.78325601 1.01387893
## [577] 1.03620717 0.97206981 2.93151641 0.77289169 4.46967278 2.12677707
## [583] 0.33284767 3.87037244 2.42240581 0.22704382 1.17142627 0.36260009
## [589] 4.14549241 1.23199553 1.44443561 0.70197680 1.04429279 1.60182506
## [595] 1.34255421 1.30591168 0.03843484 0.68329316 0.47062152 2.30482722
## [601] 1.93972138 0.55072288 2.05220539 1.76168627 1.33863458 0.46657465
## [607] 0.22322073 0.50334277 1.71786212 0.09637021 1.38445123 1.45138358
## [613] 0.67229072 0.65817449 2.33673476 4.24004841 1.95925985 5.17228449
## [619] 1.99309305 0.30840235 1.53531454 2.18368692 2.93191346 0.33728159
## [625] 0.03727579 1.81450587 2.84663475 2.25920596 0.45418241 2.32443987
## [631] 1.40863935 9.17243631 0.17787260 2.40169761 1.72306538 4.21242199
## [637] 0.37396837 0.52853180 2.95915139 1.02892122 2.59669979 0.57645874
## [643] 0.54214598 5.96610982 0.71151770 2.27860251 4.92064606 5.00924487
## [649] 1.27278755 1.46555741 0.96972825 2.28054535 1.35878415 4.04970113
## [655] 1.81849464 1.57282361 1.60037746 0.87252950 0.53597046 0.86613228
## [661] 3.49048139 1.80948658 0.94290141 1.54930015 0.11807346 0.75358602
## [667] 0.97610487 1.78826420 1.41889150 0.95671277 2.40945812 2.71208212
## [673] 3.99934394 0.34692124 1.29758437 1.01757692 1.33536704 2.65292277
## [679] 1.88418034 3.93266718 0.48573697 1.14884132 1.84925568 1.18563518
## [685] 5.42575568 1.66295644 2.89372106 1.75266407 2.63578111 0.32941612
## [691] 3.93588028 1.56249238 0.52979502 0.69031692 0.71770285 0.48051412
## [697] 0.86743448 1.68094063 0.31911669 1.23937914 0.57875926 6.64622184
## [703] 2.66470172 1.09104245 0.60584132 0.63011454 1.14209451 0.61989974
## [709] 2.29011788 0.77943934 1.28220432 3.10727199 0.67796285 0.14276642
## [715] 1.14374891 1.63471970 0.85836087 3.40615789 0.69947515 1.18349172
## [721] 1.38311906 3.12409636 0.68749816 1.79656880 0.93829017 5.44915286
## [727] 0.25026143 0.99295901 0.99489269 0.34708659 2.00489372 1.79824571
## [733] 1.35512808 0.35211384 0.17082937 1.69266132 0.30291106 0.23193497
## [739] 3.35396715 0.95526368 1.41597400 5.85096068 2.88549803 0.46955100
## [745] 1.32341837 1.00163496 2.19922118 3.02139347 1.31048921 2.55643031
## [751] 5.44365116 2.29325181 0.49629920 2.07335476 2.54989767 1.77767752
## [757] 1.53891171 0.61615812 0.73469309 1.14553496 1.11439529 1.23473862
## [763] 1.09197275 1.55001617 1.27669445 3.59124200 0.85459324 1.42333248
## [769] 1.07432460 1.26014499 2.43337684 1.08074140 0.43172037 2.11399152
## [775] 0.97182783 2.26973778 0.97376285 0.65481520 0.90998507 1.04620109
## [781] 0.27390160 1.53316638 1.18667825 0.19971461 0.44677518 6.19405521
## [787] 1.48271805 0.30757215 1.08620865 2.07255985 0.80277726 3.84596598
## [793] 0.31701624 0.99111697 0.89197529 2.18921832 4.88367633 4.90612589
## [799] 1.47365651 0.69103214 2.86505303 0.42761517 0.98638127 1.06133490
## [805] 0.30389541 0.40600149 2.36849087 1.12019457 1.83505895 1.22448153
## [811] 0.26800841 0.20463980 0.97601865 0.48321432 6.83546692 3.51573829
## [817] 2.00869096 0.27533521 1.59513972 3.85720759 2.01665790 1.37258104
## [823] 5.27569413 0.52000256 1.49000853 2.24438171 0.68715237 3.94142321
## [829] 1.84679999 0.38700850 4.24604805 2.09756274 1.36542436 1.20134620
## [835] 0.55608142 1.50030295 0.78920643 0.91867441 4.30364104 1.79761157
## [841] 0.83220534 0.30726948 1.12550734 0.50126770 1.07538906 2.09497248
## [847] 7.60906946 2.61344628 0.66616430 0.07796390 1.95655526 0.73904818
## [853] 1.68613617 2.39389945 1.99001425 4.04972426 3.01662829 1.18197253
## [859] 1.14842786 1.56067640 3.36296693 3.53780804 1.37148199 0.25087382
## [865] 4.42990015 1.55795141 3.34005099 1.03674486 0.21894266 2.01385892
## [871] 1.91410184 2.33769797 0.18734682 1.03341757 0.70973615 1.76278653
## [877] 1.37911428 1.75560603 3.25618558 2.80169116 3.21960986 0.71377076
## [883] 3.63727858 0.30092200 0.24333252 1.49625671 1.80627421 2.09872417
## [889] 1.21495574 1.47261012 0.37278192 1.97439436 0.41428097 2.58990849
## [895] 0.65301805 1.57485586 0.06866287 4.60686214 4.34509920 1.32100836
## [901] 0.54013454 1.21610424 1.61285432 1.08900742 2.61418896 1.89962434
## [907] 0.64646038 2.80510428 0.71055204 7.11580354 2.51621271 0.73979393
## [913] 1.79000409 0.67585019 1.12370459 2.29879910 2.38789973 0.51491607
## [919] 0.53925901 3.52393127 2.67980291 1.39252245 2.27376131 2.68705104
## [925] 1.32672067 1.98189180 0.88145413 2.68609917 1.52209503 2.36904830
## [931] 2.97971068 1.31235918 0.15658635 3.12650912 2.88428954 0.38941209
## [937] 1.97165677 0.45370521 1.01363889 1.50249973 1.46011576 0.37078144
## [943] 0.89431153 1.78469432 0.72236863 1.01823732 1.30295835 0.45536359
## [949] 0.96450067 2.10308090 1.37451201 1.29296314 0.17817050 4.45661166
## [955] 2.23430662 4.66482186 2.02009136 0.23256415 0.33950334 2.25223808
## [961] 0.79438422 0.39510401 1.45785390 0.33067942 1.39418158 0.06548145
## [967] 0.91658450 0.63890625 1.39685771 3.61617013 0.91708069 2.36594973
## [973] 1.90904227 0.57059922 3.51259719 1.73636751 2.59852990 0.92037011
## [979] 1.01040947 1.86336566 1.85624333 2.27391044 1.35920963 0.77333434
## [985] 1.35982359 1.32202104 1.38887211 5.07477076 2.62771155 5.82437987
## [991] 0.53785631 1.75056382 1.48276269 0.73405212 1.54749083 0.61319312
## [997] 1.04860143 0.26710522 0.96612608 1.19888896
length(distgamma)
## [1] 1000
# Uji Kecocokan Distribusi Gamma Secara Visual
hist(distgamma, main="Histogram of distribusi gamma(1000,5/3,1)", col="lightgreen")
## Uji Kecocokan Distribusi Gamma Secara Formal
ks.test(distgamma,"pgamma",shape = 5/3,scale = 1)
##
## One-sample Kolmogorov-Smirnov test
##
## data: distgamma
## D = 0.035812, p-value = 0.1538
## alternative hypothesis: two-sided
#Loop 5
distgamma <- rgamma(n = 1000,shape = 5/3,scale = 1)
print(distgamma)
## [1] 0.84488677 0.73639447 1.06884303 2.79068576 1.96866994 1.49759121
## [7] 3.47529589 1.43007770 0.91691481 0.66579873 5.85212293 1.51955759
## [13] 1.77288706 0.69203514 1.53667168 5.46400428 0.44048849 1.66670835
## [19] 0.47237221 0.46647628 0.17123971 2.50103184 1.29188730 0.57687599
## [25] 0.18827650 0.49885094 1.95549444 1.09348750 2.59336444 3.84942150
## [31] 1.24515484 0.47825762 1.40078482 0.71184429 1.17324317 0.50586443
## [37] 3.37924335 4.13362230 2.34274574 0.44638242 2.81306559 1.40583512
## [43] 2.92886747 0.48292048 0.74288713 1.36773178 3.05595855 4.80541334
## [49] 2.38220596 0.27041665 1.44532239 0.52144893 4.43721446 2.35532265
## [55] 3.37520358 0.69629647 3.89888717 0.72470987 0.82687112 1.43919711
## [61] 2.32676080 0.32062390 1.73349380 0.48123586 3.11935419 4.70349996
## [67] 0.56656896 2.12690108 0.79055065 1.20034883 0.76233241 0.74728112
## [73] 6.11299463 2.53109234 1.16962421 0.30273273 3.00595863 4.66651085
## [79] 0.66907001 1.02414328 0.59220499 3.80145220 1.32300778 0.61002749
## [85] 1.75294885 1.40613551 1.50660517 0.33244451 0.75509547 3.15036562
## [91] 0.27128485 0.26937282 5.60042714 1.90578890 3.63125307 0.36868166
## [97] 5.11814606 0.92682092 1.41643943 1.51877961 1.19440349 2.19024576
## [103] 1.64368770 0.55484181 1.73921528 4.19551199 1.99330131 5.03728556
## [109] 0.96156778 0.96104410 0.53977623 1.75434472 1.33261864 0.78919805
## [115] 0.35887051 1.63382675 2.32397169 1.47276347 0.69311769 3.93665990
## [121] 0.87891240 0.74932808 0.71710496 2.19197071 1.54784987 1.11955738
## [127] 1.40801294 0.66784702 1.65774981 2.09421263 1.33311714 1.11733344
## [133] 3.87873914 1.68664398 1.98005031 1.04170259 1.20948609 1.25186109
## [139] 0.14693446 1.21173606 1.87123077 2.26636233 0.95138432 1.20620348
## [145] 2.13415915 1.16875103 0.27686733 2.02016735 3.55367255 0.97167766
## [151] 2.15439037 1.16839129 0.39552689 3.70372457 0.88971078 1.08804192
## [157] 1.31497655 1.85396023 0.69548112 0.34502006 3.56012577 1.94241879
## [163] 0.77484516 0.64698111 1.99358364 1.28556313 1.53626215 1.96875213
## [169] 2.32000271 0.92307348 0.55448022 1.67366755 1.40157428 2.87958727
## [175] 0.45022114 0.81186097 2.61135849 1.85747501 0.20068791 1.13150585
## [181] 0.45922015 1.58896762 0.88076843 0.16869662 1.96493802 0.15598836
## [187] 2.46526710 0.74558389 4.73769383 1.68701737 1.30958263 0.80936727
## [193] 0.57840329 1.60621924 1.40578137 1.45321795 0.27417207 1.04478224
## [199] 0.07449289 0.95602702 3.21844170 2.28988213 0.78476948 7.47649122
## [205] 1.89120863 1.26998280 3.39946255 1.18089443 2.94516256 1.51773518
## [211] 2.82165338 1.79001324 0.96197571 2.44931446 2.02550172 0.85540626
## [217] 3.17330341 1.74175624 0.61091362 1.81614161 2.73499099 2.46739195
## [223] 1.76403693 0.58725221 1.40472959 3.16631912 1.15540787 1.91240874
## [229] 0.22246619 0.21081188 0.40163639 0.83342995 6.58112768 3.78050543
## [235] 1.09795245 2.84606634 0.18681207 0.85710334 0.81538021 0.44073242
## [241] 0.59585518 5.29621262 0.80846402 7.04665593 3.94769624 0.92915429
## [247] 0.85845575 1.14548219 1.16183056 2.51005080 2.70176838 0.68372401
## [253] 0.33999446 0.65750915 1.54438874 0.30518518 1.34741006 1.26729807
## [259] 1.73097796 0.27338857 3.12192812 0.24362062 1.03962002 2.75941692
## [265] 1.25051213 0.04526495 1.69766180 0.96493812 0.71254278 1.82925250
## [271] 1.94476083 1.21318546 0.69967013 1.77384776 3.16103155 0.31483651
## [277] 3.60397563 0.23640303 2.34532733 0.33852004 8.94904246 0.92497791
## [283] 0.02216619 1.69510761 0.24597927 0.67963991 6.00303399 0.97358483
## [289] 3.03305287 0.44842554 0.87411924 0.15376999 1.89130491 0.14607518
## [295] 0.65574867 1.66067486 2.05261851 2.26115865 1.74758490 2.51774162
## [301] 1.38645236 3.25600076 0.70092325 3.91364157 1.07693947 2.50114903
## [307] 0.90088114 1.46269893 1.30053174 3.74298038 1.92621181 0.19608667
## [313] 0.99218770 2.31137429 1.55603872 0.21811545 0.83800073 1.54216499
## [319] 2.22046178 5.51901327 1.06102806 1.49283427 2.51992408 0.43795296
## [325] 2.07305177 1.56296534 1.03169498 0.29612270 1.25443020 2.09682005
## [331] 0.60808861 0.71793081 0.79694014 0.30967897 1.25089008 0.51629074
## [337] 0.90967748 4.22698813 1.28609536 0.10322638 1.68758818 3.90614405
## [343] 1.70258672 1.79565920 1.83532159 0.33646312 2.03556412 1.38898516
## [349] 1.10853493 1.58991262 1.97037950 3.46089688 2.69284088 0.61239788
## [355] 0.80572959 1.41652129 1.41400838 0.73064491 8.86140536 1.02406081
## [361] 4.57585605 1.55416483 3.12100689 2.98784940 3.59666890 3.60835526
## [367] 0.60809178 0.83663249 1.53442305 2.62804189 3.99718741 1.40817866
## [373] 0.90362940 0.78072263 3.86460466 0.28062783 0.73023013 0.62959821
## [379] 0.75899090 1.41060435 0.83002139 0.52938462 1.53801295 0.99307806
## [385] 2.15192138 0.13345235 0.69917274 0.90275729 1.58865718 0.12189405
## [391] 3.21933424 2.44207206 0.82721698 0.28158302 0.23049085 0.67659336
## [397] 4.87969579 1.76000993 1.43163538 0.43302893 0.66649679 1.17146551
## [403] 2.82929903 2.94411201 4.59832681 1.52139106 1.31476793 1.81642134
## [409] 1.38445377 0.46341902 0.21357769 1.18600212 1.71740801 2.00697730
## [415] 1.72213024 2.44169457 0.69605390 0.52267195 0.48479490 1.14755586
## [421] 3.27208935 2.04092677 2.00441720 1.21374289 1.29873873 1.04722000
## [427] 0.07708116 1.02422620 2.49416142 1.28556996 0.79789254 0.17307801
## [433] 0.96921152 0.89119318 0.79513640 2.40250987 2.68786096 2.10767463
## [439] 1.09647184 2.89224351 1.61406945 1.03069215 2.28601866 1.21844428
## [445] 1.74407045 2.19203974 0.29032234 2.10306552 2.83616237 1.04543856
## [451] 0.51716644 0.63036457 3.68355466 2.65871778 0.64282617 4.80015775
## [457] 1.08387785 2.33964911 3.65498083 4.42336549 1.05812509 2.29337823
## [463] 2.69337007 0.29969836 1.56740227 0.15403968 3.20583498 0.64129629
## [469] 5.08905558 0.78153242 2.58673917 1.13816475 0.83465975 1.21257486
## [475] 2.68445689 0.49392840 1.49730251 2.38043467 1.28058180 2.66433654
## [481] 3.69791397 1.34564810 1.21332452 2.76356855 0.21628076 0.44550889
## [487] 2.52925893 1.14203234 0.84883103 0.21213943 1.54720775 0.79116541
## [493] 0.99088883 1.26245474 3.09172306 0.88278051 0.28175145 1.88510341
## [499] 1.34500641 2.09662410 1.46251786 0.61358061 0.99703146 0.36669940
## [505] 2.14137210 0.56263217 5.30262006 0.40413706 0.57075483 4.06517230
## [511] 0.90880868 0.59783363 0.27158748 0.80032067 1.54628500 0.60596668
## [517] 1.46701493 0.23462016 1.73777600 1.59454223 0.02318139 1.95460636
## [523] 1.88965669 2.94731750 1.49071160 0.97203128 0.21612784 2.63858568
## [529] 3.03264871 0.22108632 1.87968954 1.14446600 2.22595207 0.68354075
## [535] 1.84588840 3.39191647 1.09933334 1.73008163 2.24435247 2.46107753
## [541] 3.77323334 2.63405447 1.88671261 2.06897680 3.41677934 0.61080610
## [547] 1.82194953 1.16702215 2.64456540 2.60120661 3.86269759 3.70456862
## [553] 1.13508973 1.11902955 1.06015405 1.55526599 3.00073540 2.59643190
## [559] 1.06912012 3.95924811 0.55062132 1.02437505 1.61769011 0.95887263
## [565] 0.57884784 1.01420456 0.62393367 0.13073317 8.16208188 0.74053858
## [571] 0.35909616 1.82112260 1.16124090 0.51015108 0.52739676 1.36868736
## [577] 1.33237563 0.12769234 1.73405701 0.36497868 1.54692587 0.84019268
## [583] 0.67821733 0.81956091 2.93787325 0.45924242 3.87803503 0.11918063
## [589] 2.21087027 0.13404204 4.17609014 0.46040816 0.55637884 6.85510890
## [595] 1.55925557 2.93923927 1.81958330 3.05170333 2.48571968 0.75368962
## [601] 0.73720195 0.24377033 0.71177854 1.04719055 0.68365218 0.29275467
## [607] 1.01708982 0.63405588 0.46064523 1.11857323 3.35468369 2.51541601
## [613] 1.32709175 2.80767101 0.03527955 0.19522370 1.04357508 3.17192375
## [619] 0.96629414 1.61566170 2.03619947 1.44308598 2.66910327 0.74723046
## [625] 0.63292009 2.07179030 1.02731454 4.72565098 0.92780776 2.27565070
## [631] 0.65964697 1.80997155 1.91432600 2.23559055 1.89005158 0.27808805
## [637] 1.44109869 1.22931457 1.33020773 0.28006227 3.16458160 0.83287185
## [643] 1.83519954 1.37815133 1.25906145 1.68953904 4.04737192 2.12444771
## [649] 0.16103401 2.78945213 0.19648338 3.09207822 1.19293641 0.85886034
## [655] 0.31180358 2.11930578 0.81059472 6.40013636 3.27747857 0.83243702
## [661] 0.81032460 2.22745437 1.42076832 1.78517090 0.20723203 1.63032735
## [667] 0.16297558 1.98473496 1.11170284 0.20083894 0.17670978 1.45583413
## [673] 1.04091316 1.74854617 1.60382475 1.20375022 1.30027959 3.79138982
## [679] 4.62912183 2.21837706 1.68083905 1.83974142 0.29205123 0.69628158
## [685] 4.27438709 0.62484187 0.94125411 1.91811728 0.54915938 0.59771888
## [691] 3.05567233 4.00570467 4.07161828 1.70091616 2.83410753 2.48197327
## [697] 1.08193082 0.66358055 1.90774994 0.87059246 0.62657998 0.03434632
## [703] 0.36728156 0.49913943 2.68268917 2.92584603 0.84998115 4.02155409
## [709] 0.50793402 3.64257102 5.66902913 2.55283800 2.26601527 0.76790002
## [715] 0.88855479 2.13804154 0.91639087 1.25208084 0.30505926 0.92220381
## [721] 3.20619156 0.53743121 2.26809333 1.88779519 1.78645271 0.88521466
## [727] 2.66931661 2.69398312 1.46951511 2.81150617 1.01945481 3.68477752
## [733] 3.74586809 2.69575828 0.93014197 2.14768534 1.25513586 0.58445160
## [739] 1.91189910 1.92653941 0.19150131 0.41415663 1.01309499 0.29071409
## [745] 0.34582068 1.18989413 1.34572850 2.30744703 0.31562154 0.63387087
## [751] 1.45893231 0.90302163 2.11091920 1.45117498 2.26240095 1.15443238
## [757] 1.02485703 2.55897879 0.26800017 1.47783654 1.47235463 3.32304346
## [763] 0.54239075 2.81689504 1.13775377 1.31368854 0.97341258 0.31307234
## [769] 1.88211514 1.85093672 3.52146289 0.70969905 1.38417722 0.53894965
## [775] 2.58917203 2.07420257 1.64277514 0.21585745 0.34971118 1.09808029
## [781] 1.95575457 2.11858377 1.20671921 0.43841755 0.36163902 3.30494000
## [787] 6.59561777 1.30489430 0.68063289 0.80088385 1.03582639 1.30462829
## [793] 1.66614535 1.10412499 2.70305768 1.45498916 0.66138238 1.59311777
## [799] 0.71559551 2.47698888 1.59846548 4.12327675 1.69899233 0.29419509
## [805] 0.21144274 3.92609910 2.03283980 1.92845212 0.90712052 2.30625120
## [811] 0.28328508 3.39400817 0.18724169 1.81814717 0.42876295 0.72734083
## [817] 0.45556716 1.12790314 2.03579484 1.38675999 0.01784888 2.95400351
## [823] 1.31410400 2.74468062 2.33074790 1.75310227 2.28993952 1.33934958
## [829] 1.37030492 6.41519592 4.35662445 0.62184894 0.84957602 0.79905058
## [835] 0.91738433 3.00529619 0.55231873 2.21642305 1.42624844 3.73828805
## [841] 0.58074130 0.66938819 1.47830695 1.46512219 4.35493001 0.47817699
## [847] 2.30916762 0.48771039 5.38222070 1.27978667 1.62722595 0.10180619
## [853] 0.98630930 2.48655342 0.66238002 1.38480186 1.41097649 0.35803797
## [859] 1.53773539 1.96450252 0.28768152 0.56793541 0.80452193 2.30232055
## [865] 0.15600177 1.65626768 0.46690817 1.43914098 0.81007664 0.54616192
## [871] 1.87698167 0.87169111 1.08061395 1.52071130 1.00915304 3.23104955
## [877] 3.63833723 3.46041137 1.13408385 0.30140294 1.43133942 0.38615351
## [883] 2.06895726 0.24958733 0.23618435 1.05595440 1.15117537 1.76892002
## [889] 1.19615621 3.23392343 0.60159361 2.17429117 1.76282186 0.34458858
## [895] 0.67749301 1.24909411 2.02930085 2.67477065 1.09968432 0.29320391
## [901] 4.53132810 1.87251897 1.48816781 1.09276270 0.43303717 1.19673987
## [907] 1.47690310 4.87487388 0.35338382 2.00447771 3.40055053 2.70032964
## [913] 0.05551336 3.06512175 0.74661911 3.38243716 1.10834090 1.13042571
## [919] 0.57362288 4.44395211 1.72480158 3.53533458 0.23712006 1.44546432
## [925] 0.24805081 1.47792476 2.12163151 0.37141584 0.86361704 3.20818472
## [931] 2.04927524 1.04128199 3.90725363 0.79157628 1.97962159 4.23592188
## [937] 2.32988151 1.34196864 1.20958813 1.67140141 0.11881338 3.48964596
## [943] 0.18782615 0.35693941 0.30866157 2.23433561 2.89904240 2.82555435
## [949] 1.39473742 4.76378247 2.13030358 2.58115485 0.20050684 0.85983274
## [955] 3.37338053 1.99246444 3.78805929 1.98384432 0.35809934 1.08054680
## [961] 2.09470364 0.81515193 1.50049878 0.35277304 0.67160335 1.55065349
## [967] 1.28611582 0.39612774 1.14029314 1.43875077 2.87398851 0.95907819
## [973] 2.15064729 1.00921109 2.07093383 0.94538124 1.12597572 0.51037518
## [979] 4.38066972 0.27548312 0.59742569 1.05020983 4.08576480 0.68676859
## [985] 1.53112118 3.97235153 1.09991401 0.41468467 0.86728671 2.58060485
## [991] 1.68653607 1.25963165 2.82445185 0.91603480 1.42283894 2.09221335
## [997] 0.98426580 0.65996552 0.93077889 1.22763471
length(distgamma)
## [1] 1000
# Uji Kecocokan Distribusi Gamma Secara Visual
hist(distgamma, main="Histogram of distribusi gamma(1000,5/3,1)", col="lightgreen")
## Uji Kecocokan Distribusi Gamma Secara Formal
ks.test(distgamma,"pgamma",shape = 5/3,scale = 1)
##
## One-sample Kolmogorov-Smirnov test
##
## data: distgamma
## D = 0.016742, p-value = 0.942
## alternative hypothesis: two-sided
#Bangkitan Variabel Random Distribusi Gamma dengan Acceptance Rejection
#Bangkitan 1
n=1500
#Bangkitkan peubah acak Y
set.seed(7)
y <- rexp(n,rate = 3/5)
#Bangkitkan u berdasarkan unif(0,1)
set.seed(10)
u <- runif(n,0,1)
# Menghitung Nilai c
f <- function(y) (1/(gamma(5/3))) * (y)^(2/3) * exp(-y) #pdf distribusi Gamma
g <- function(y) (3/5) * exp(-(3/5) * y) #pdf distribusi exponential
h <- function(y) (-1) * f(y)/g(y)
derivH <- optim(par = 0, fn = h, lower = 0, method = "L-BFGS-B")
derivH$value
## [1] -1.332456
nilaic <- -derivH$value #Tambahkan negatif
#Kriteria penerimaan
criteria <- u < f(y)/(nilaic*g(y))
head(criteria)
## [1] FALSE TRUE TRUE TRUE TRUE TRUE
#Menjadikan Y sebagai X
x <- y[criteria]
head(x)
## [1] 2.7033460 2.8552304 1.3536565 0.9093732 4.3671103 1.2530954
#Banyaknya Amatan
length(x)
## [1] 1131
#Karena >1000 ambil 1000 saja
x <- x[1:1000]
random_gamma=x
print(random_gamma)
## [1] 2.70334604 2.85523040 1.35365646 0.90937315 4.36711035 1.25309540
## [7] 7.12178646 1.57369923 1.24671150 3.12001409 3.11240022 2.01722361
## [13] 0.57540011 1.12821291 1.59648323 0.86567077 1.52438651 1.05429693
## [19] 0.66203513 0.73359832 0.91352875 0.74329780 2.06745383 2.81436764
## [25] 3.14020105 2.09690846 1.31458670 3.20272724 0.87946786 0.64556290
## [31] 1.54463644 1.48681818 1.13580775 0.40279016 2.43784552 1.66121435
## [37] 1.01492985 2.40169923 4.32801724 0.87380910 1.80787214 2.26702336
## [43] 1.78202017 7.05913532 0.23987777 1.85489474 1.08030613 3.12564742
## [49] 2.13107587 1.60237193 1.78078028 3.36075784 2.12969699 0.43056214
## [55] 0.21972720 0.96440169 3.09828665 1.10896147 1.41080499 0.68889050
## [61] 1.62986305 0.86511646 0.41708348 4.36527141 0.93033037 0.75966893
## [67] 1.03173256 0.86076998 1.01833403 3.01858926 0.20921135 1.28247519
## [73] 0.73005048 3.21801390 4.26430854 1.41229853 0.99543758 2.04567582
## [79] 1.03699845 0.44681594 1.15336761 0.54404977 1.80193450 1.03078646
## [85] 2.74674999 0.94883526 1.91954919 0.77206653 2.02412876 0.71610423
## [91] 1.49730430 1.21742126 0.84568489 3.93937427 1.00454439 1.22963785
## [97] 1.37593714 0.71385697 0.07137110 1.53722512 1.59998038 0.51067864
## [103] 1.29401941 1.21805647 1.13075970 0.39099656 0.74331913 1.42237197
## [109] 1.72165198 0.50834121 0.58952144 0.78133133 0.80183983 2.52645766
## [115] 1.08442043 2.11836354 1.12380087 5.72310085 4.77221936 0.75045076
## [121] 0.84805059 1.65144294 0.89020240 1.35563959 0.04431120 1.74573016
## [127] 3.69541984 0.58682888 1.15311983 1.37015705 0.97240587 1.44043917
## [133] 1.51421541 0.47892773 0.69376178 0.57306607 1.06716321 0.47407453
## [139] 1.14387478 1.87756869 3.71769013 1.12209700 3.18842774 2.26898904
## [145] 0.61741852 1.34554990 1.37130017 1.79531764 0.62165470 0.74660463
## [151] 0.44419589 2.45874118 1.89547664 2.69571871 2.27408953 1.41336457
## [157] 0.83795723 0.18852816 2.37488879 1.08082254 1.72784026 0.70997857
## [163] 0.36967136 0.72378121 0.84448253 2.08113230 0.41869285 1.16046429
## [169] 5.78736634 1.37155830 2.11756655 0.76992616 0.62434871 0.33680277
## [175] 1.87165739 0.88881310 0.39601307 1.29076654 0.64262924 2.29792870
## [181] 0.60850373 3.69504424 0.55348776 2.13822201 2.82175446 2.34132451
## [187] 0.45068706 1.78160603 2.46498158 1.86076677 1.89398157 1.37336325
## [193] 1.35961721 0.75227864 1.20939921 1.09244654 1.29624219 3.95601539
## [199] 2.06526846 1.01329860 0.98430947 1.17442306 0.32658736 3.09124873
## [205] 0.21406471 1.56756131 1.67692809 2.37489448 2.30381734 1.38803531
## [211] 0.60577225 1.40962255 3.63897059 1.38647561 1.78179409 3.61472095
## [217] 0.35078074 5.70983044 2.13571928 2.07962541 3.67442087 2.88048241
## [223] 1.77213402 1.33364626 1.34899836 0.41085756 6.88552212 1.19418902
## [229] 3.37211966 0.96618911 1.18724100 3.65929699 1.15694732 0.66186301
## [235] 2.12311486 1.34948538 1.31040212 0.14149824 1.36382039 0.90637263
## [241] 2.38050256 1.15861921 0.34956839 0.31847871 1.27854305 0.99387598
## [247] 0.56145935 3.09122778 0.79559414 2.15490575 0.41646352 1.64562031
## [253] 2.48995041 0.19267454 0.90306325 3.43885428 2.39704433 0.54657845
## [259] 3.66791750 0.18517589 1.50692739 1.09548103 0.56923218 1.45726607
## [265] 0.57236319 2.17155304 1.36196100 1.29754757 2.09777036 0.95680576
## [271] 1.81468307 1.74411713 0.14114385 2.15336462 1.34597415 0.09076717
## [277] 0.35261565 2.57983632 3.88245925 1.08700545 3.70283402 1.19197020
## [283] 0.77005254 4.03744823 1.28781935 0.32002981 1.08935571 2.88849421
## [289] 1.35396653 1.35049850 3.17034472 2.06066299 2.09911330 0.26292178
## [295] 0.56238737 1.36536699 0.14628596 1.12997446 0.11381111 0.19642984
## [301] 3.06089967 3.62150418 0.86726430 0.22769140 0.15984587 3.73904754
## [307] 0.70472743 2.58867109 1.25734629 1.52038387 0.54379028 0.44981659
## [313] 0.55048305 3.92803364 1.76181212 1.33406121 3.89189502 1.06877627
## [319] 1.80796318 0.61405311 0.55799258 2.04453450 2.49384018 1.11016271
## [325] 0.69523141 0.70490004 3.65220364 0.43852796 1.06027845 0.96182915
## [331] 2.49293751 3.86233368 2.25310094 4.88859251 2.24500139 2.96154322
## [337] 0.32129636 0.39350635 0.76950342 0.78246208 1.31883959 1.05943805
## [343] 1.62044283 1.98588356 2.05956670 1.26901936 4.58508318 0.33035025
## [349] 0.80166702 0.70681935 1.36893394 2.04022695 3.76150924 2.00021944
## [355] 2.14413966 1.85193919 6.35197668 1.59581725 0.21263488 0.15015106
## [361] 2.24071898 0.72078067 0.41585992 2.36465568 1.36402532 2.04411529
## [367] 4.68131175 0.30354552 0.82805818 1.79926190 1.19235801 0.84874466
## [373] 3.29847230 0.71009987 1.84431175 0.90453921 1.87639398 1.22789186
## [379] 1.88393120 1.92617455 0.97032101 1.20852553 0.82402489 3.48221965
## [385] 2.77269845 1.74548184 0.11516159 2.20983962 1.12182313 0.75835978
## [391] 0.99862683 3.20610012 2.13528192 1.55913861 1.03292770 2.35589964
## [397] 0.46482332 3.15735111 1.93990130 0.86175658 1.59914115 0.39355748
## [403] 0.22688511 0.96685798 0.28021281 1.23915140 1.26424332 1.04409144
## [409] 1.50249843 2.14863487 1.24093572 1.37802089 0.16151983 0.54390302
## [415] 1.25886873 2.90192629 0.41987299 3.29087390 2.11338122 4.22580028
## [421] 1.00265867 4.43983081 3.56106335 2.12578485 0.56091640 0.39329455
## [427] 0.94234958 0.37435358 2.27784065 1.34403619 0.28480155 3.22025406
## [433] 2.33716589 1.36504698 1.39967400 1.28421622 1.23488224 1.78667711
## [439] 2.51164098 1.91895957 2.50759029 2.17887446 4.32271279 2.32755253
## [445] 1.00085273 1.86001697 1.43834847 0.95780891 4.71212010 0.37142038
## [451] 0.89544110 2.52963115 2.60857934 3.34280026 0.59237666 0.10455450
## [457] 1.34131339 1.33396693 1.02317758 3.18450816 2.31350039 1.69205552
## [463] 1.48032531 0.89093862 0.39099945 1.10712454 1.42032873 2.04585017
## [469] 2.78814004 1.15083400 1.43888184 1.33822184 1.93639695 1.72455545
## [475] 2.28776659 0.91863417 0.57165795 0.03183002 1.53288316 3.13676138
## [481] 1.29838626 3.10695038 2.25950495 1.26600523 0.59843758 2.85662092
## [487] 1.45485995 0.50027555 1.81954594 1.14708812 3.23577979 3.86295497
## [493] 0.75133719 2.90692424 1.63731683 1.39366910 0.46739046 1.50857955
## [499] 1.41478777 0.73830298 0.35210721 1.76181016 0.79670006 0.41344237
## [505] 2.81560286 1.54731111 0.76847200 1.33834843 1.99711939 0.68316278
## [511] 0.35813801 1.27963132 4.10500402 1.56476513 6.02546720 0.18967999
## [517] 0.62590170 0.75492691 0.56576291 1.97775338 3.05099318 0.05565132
## [523] 1.64670965 0.63228680 0.40110326 2.41181649 0.95329203 1.51548312
## [529] 0.50503704 0.80163537 0.80624992 1.25622698 0.83329800 2.78725914
## [535] 3.14523507 1.24006185 1.13186751 5.90531338 1.72745554 1.14173638
## [541] 2.83387037 1.52094069 2.76373579 1.09129222 3.46313120 4.78145606
## [547] 0.98240586 2.95148244 1.09553915 4.76247378 4.60571259 0.91242207
## [553] 5.18866034 1.43335456 1.65243734 3.34705973 0.53246615 2.83176236
## [559] 0.94692404 3.25223462 0.83669345 4.84701034 1.18681860 2.59803700
## [565] 2.12626267 0.11841174 1.11263040 0.88036726 1.26181397 0.80265058
## [571] 1.38553766 0.39765076 1.70823918 3.74299440 1.19957097 4.14490193
## [577] 1.64314221 1.31081671 5.48300112 2.39943925 3.44354706 1.61477863
## [583] 1.22232224 0.40401389 0.94167173 3.78356931 3.30383679 1.13220687
## [589] 0.29867903 2.52747982 1.67060686 0.47603446 1.33501885 0.44108013
## [595] 2.42678156 3.47875564 1.75176007 2.45027446 1.07172488 0.19225941
## [601] 1.24262923 6.35281931 3.84311316 0.86052024 1.22689480 0.87638581
## [607] 1.65946634 4.57930676 2.83993419 1.45513723 0.54470744 1.34236007
## [613] 1.17219085 3.44902890 1.10895841 0.47226378 2.72598559 2.96216719
## [619] 2.23367556 2.00488606 1.74510675 2.97136357 0.48554461 0.32135899
## [625] 1.85114763 1.15144979 0.73332739 2.49377591 2.23160994 0.80012818
## [631] 0.75409429 0.75634961 1.58583444 0.11467501 1.05058720 1.56115190
## [637] 2.41749346 1.80681559 2.59624100 3.21200492 0.63813669 3.47025611
## [643] 1.28411118 0.83207770 5.11812358 0.88604601 0.20791063 1.23961627
## [649] 1.71089451 2.21228258 1.22865335 2.82983723 4.28265478 1.68283066
## [655] 2.14378345 1.42337017 0.60637240 0.79882223 1.07260661 0.84716007
## [661] 3.26503744 0.58091579 0.64291972 2.74297632 3.20431716 1.68638949
## [667] 1.55211217 2.23864101 1.04428249 1.96826786 1.10063911 0.78271609
## [673] 2.65471846 0.77419608 5.37272014 1.04879959 3.71931779 0.63735223
## [679] 4.19114804 1.38083243 1.44923051 2.16088931 0.30014623 0.70228047
## [685] 2.08131429 2.12195972 0.37744819 0.74722786 2.00377547 1.59130839
## [691] 0.27723710 0.58792296 4.54622101 1.34922247 2.37060785 1.33231773
## [697] 2.46110283 1.24747317 1.46096459 0.88969665 6.24375816 0.76747525
## [703] 3.28865631 1.50917467 2.02106845 1.31747602 0.63937264 1.01880875
## [709] 2.33984133 2.62712349 0.59557305 0.72827433 2.17910159 1.64442785
## [715] 0.39988397 3.93740510 1.73784048 1.64627578 1.55794763 2.27267319
## [721] 0.52641385 2.89470356 1.53385813 2.46598092 3.68296119 2.75892245
## [727] 0.70077622 3.77919462 0.78699619 2.59820339 1.49069596 0.09385339
## [733] 2.86840868 2.34450241 3.11611225 0.31199233 1.35259652 8.19061774
## [739] 2.98863129 0.51366101 1.21394360 1.25679275 0.47742662 0.88405831
## [745] 0.75516868 2.46397890 1.12503746 3.20266510 1.31598007 1.49739621
## [751] 1.07251292 1.66207863 3.00598966 1.61835315 1.76358305 0.24438084
## [757] 2.46486562 3.35059685 2.24021455 1.32606071 1.29699219 0.82064910
## [763] 2.17283121 0.36795496 0.72629845 0.33504709 2.29135163 2.14624697
## [769] 3.06068715 3.15848730 1.41899492 2.66304250 2.28354928 5.04121272
## [775] 1.72867462 1.24069578 1.78593959 0.57541540 1.51661838 8.96801678
## [781] 4.49174960 4.04597085 4.44016987 1.49856003 1.74890361 0.76004952
## [787] 3.11958071 1.18328962 2.17774375 1.13253008 1.95517008 1.24636423
## [793] 1.17942372 3.40545011 1.05841951 0.40535638 2.64843430 0.51244411
## [799] 2.54204777 0.27363521 2.06865345 0.64925893 0.87623441 0.08020484
## [805] 0.86075295 2.05721382 0.15911656 1.00341986 1.42403501 0.84355507
## [811] 0.71344294 0.59597282 6.10377047 1.53631789 0.83013153 0.38468973
## [817] 0.38790403 2.48495400 2.68922305 1.80970731 2.33268542 1.75612435
## [823] 2.40755788 3.58765484 3.10140918 2.19532252 0.73047486 1.86231175
## [829] 1.65090495 0.08188127 1.19025076 2.74757862 1.28426030 1.96245073
## [835] 0.90397500 2.39123443 1.30383076 0.42753137 0.90863471 1.03992247
## [841] 1.86240426 0.21220123 2.29680063 1.16762059 1.86254481 1.38236641
## [847] 1.72106162 1.79936216 0.22909955 1.18453565 0.68525374 0.70362659
## [853] 0.66945673 0.32780469 8.18988202 1.10533576 0.10837229 0.46354901
## [859] 0.90138590 2.10376154 6.71480151 0.96301699 2.98697344 0.97639729
## [865] 1.87385786 2.15911035 3.38937542 0.73279377 2.35546500 5.13192469
## [871] 4.63541282 1.39761143 2.27311543 0.20901806 1.38866196 0.84220925
## [877] 0.49843094 0.56132181 1.29879448 0.80145514 0.56085888 0.85503965
## [883] 3.01899440 0.45378578 0.76831833 1.05350222 1.79573736 2.24932844
## [889] 0.81029014 1.23133362 1.10104651 3.05697960 3.18005979 9.59623096
## [895] 0.52711489 0.93303240 1.32697385 0.60317124 1.99445174 0.71006481
## [901] 2.55733121 0.76469250 2.27078038 3.23153845 1.33067093 0.49204874
## [907] 5.64080428 2.14918386 2.04223652 3.05776144 0.66082193 0.96199761
## [913] 0.59868075 1.34232180 0.91421395 1.80430817 0.80133831 2.10192696
## [919] 1.17210397 1.88497643 3.04717426 2.26689270 4.08968480 0.98778464
## [925] 2.73241727 2.94441031 2.04321788 1.46989599 2.13510062 4.93011016
## [931] 4.61495819 2.77477828 2.32761893 1.21468661 1.09952396 5.00082729
## [937] 1.23024183 1.46018664 1.61158176 0.24733627 0.43147805 2.33456128
## [943] 0.71745397 1.34081449 1.36609333 1.80287630 3.41954440 0.22861151
## [949] 0.31222259 4.20904184 2.40635250 0.56044655 0.60266116 1.33999671
## [955] 2.13209553 2.51313135 0.23804094 1.66790734 2.53765301 1.50962351
## [961] 2.42641620 0.44793324 1.05123434 0.95139398 2.56975823 1.93495833
## [967] 0.94991873 1.29593076 1.24624664 2.09224348 3.60447057 1.61657404
## [973] 1.82042544 0.95816464 1.50670086 1.10588798 0.07766481 2.21984838
## [979] 1.87392232 2.82978665 0.71457539 5.24180754 3.27577091 2.83540279
## [985] 0.38940281 0.34987865 1.26935926 0.90940550 0.86088307 1.73119948
## [991] 0.32119566 0.95802323 1.07370321 1.51043364 0.59233944 0.66189806
## [997] 1.87697873 1.10247709 0.66931290 0.86044958
#Uji Kecocokan Distribusi Gamma Secara Visual
hist(random_gamma, main="Histogram of gamma(1000,5/3,1)", col="red")
ks.test(random_gamma,"pgamma",shape = 5/3,scale = 1)
##
## One-sample Kolmogorov-Smirnov test
##
## data: random_gamma
## D = 0.053976, p-value = 0.005894
## alternative hypothesis: two-sided
#Bangkitan 2
n=1500
#Bangkitkan peubah acak Y
set.seed(8)
y <- rexp(n,rate = 3/5)
#Bangkitkan u berdasarkan unif(0,1)
set.seed(11)
u <- runif(n,0,1)
# Menghitung Nilai c
f <- function(y) (1/(gamma(5/3))) * (y)^(2/3) * exp(-y) #pdf distribusi Gamma
g <- function(y) (3/5) * exp(-(3/5) * y) #pdf distribusi exponential
h <- function(y) (-1) * f(y)/g(y)
derivH <- optim(par = 0, fn = h, lower = 0, method = "L-BFGS-B")
derivH$value
## [1] -1.332456
nilaic <- -derivH$value #Tambahkan negatif
#Kriteria penerimaan
criteria <- u < f(y)/(nilaic*g(y))
head(criteria)
## [1] TRUE TRUE TRUE TRUE TRUE FALSE
#Menjadikan Y sebagai X
x <- y[criteria]
head(x)
## [1] 1.3953322 0.5062377 1.6319732 0.7297583 1.4277345 1.2584099
#Banyaknya Amatan
length(x)
## [1] 1125
#Karena >1000 ambil 1000 saja
x <- x[1:1000]
random_gamma=x
print(random_gamma)
## [1] 1.39533221 0.50623773 1.63197316 0.72975835 1.42773455 1.25840987
## [7] 0.14987372 2.48681522 1.33212695 3.07672781 0.37310886 1.05788537
## [13] 3.41846389 0.41049683 0.21132809 1.77524258 0.46925219 0.81246333
## [19] 0.33353794 0.30449037 2.99724298 0.12067119 3.58922547 2.56997040
## [25] 1.78996461 0.32442885 6.41997075 1.07906043 1.10801533 0.49517659
## [31] 4.68166817 2.40292573 0.36298371 1.43507919 0.38013918 1.94216813
## [37] 0.74153408 1.28473873 1.04877598 1.34741127 2.13283739 1.48604321
## [43] 0.76638339 1.19189462 0.71737958 1.17859730 0.28400378 0.37237798
## [49] 2.85292503 1.22892698 1.98649984 0.15914565 1.98955411 1.90860753
## [55] 1.03130719 0.72842072 0.25245369 1.31506247 3.58294631 0.89488125
## [61] 0.70445608 1.73799840 1.62917010 0.16267891 0.95464368 0.51411349
## [67] 0.15357040 4.70311245 0.90471513 1.43901022 1.59955681 0.62089260
## [73] 0.75135557 0.61249329 1.21412223 1.21561080 1.40374030 0.32008006
## [79] 0.53514861 2.46880936 1.90034384 0.11180862 1.03584720 0.45585527
## [85] 0.35533232 1.15468646 1.27740873 2.13724591 0.93026479 0.55728357
## [91] 0.87634145 1.23514632 2.30966739 1.86769660 1.86176618 5.83369009
## [97] 1.95679952 4.96330911 3.59481489 1.74550989 1.55831305 0.76085111
## [103] 1.87386390 1.39992199 1.36155695 1.24460998 2.48767757 3.23174733
## [109] 0.69615320 1.43405150 0.13490889 2.32684973 1.86063469 2.75984693
## [115] 0.60695485 0.62691267 0.59305870 0.28974005 3.57854820 0.51065855
## [121] 4.17378258 0.38615596 7.00844788 0.96692340 0.95420886 1.93092253
## [127] 1.87876533 0.35850037 0.83592253 1.24508753 0.46057873 0.10677685
## [133] 0.74943510 2.20347421 0.95639977 0.65637298 2.66127529 1.73801580
## [139] 0.43368259 1.39666959 0.61446045 0.29995020 2.66123727 0.75481093
## [145] 1.94054087 2.40708557 0.84608172 0.88533759 1.44014876 1.08617277
## [151] 0.72599719 3.91296250 5.48424267 2.77377151 0.21703739 0.12774794
## [157] 1.96201734 1.81619967 1.88162435 1.07037654 2.28000334 1.83570941
## [163] 1.32344099 0.90545314 1.41944614 1.89417038 0.59698807 0.61465333
## [169] 1.08749363 1.14872471 1.28012279 1.56160990 2.83076490 0.28754226
## [175] 2.29827712 1.69257136 2.63514377 0.34782906 1.35705298 2.52220082
## [181] 3.46149254 1.02816650 4.25175205 2.50840037 1.35828303 3.03697578
## [187] 1.27030719 1.37429002 0.92653365 3.06071224 0.13873991 2.61174081
## [193] 1.58668111 1.88314418 0.64884325 3.98912105 1.05104523 3.22353487
## [199] 1.76090978 4.36896914 0.11255997 3.16819259 0.74549942 1.74510125
## [205] 0.67218062 1.62535885 0.12946616 1.02500773 1.66023837 1.64798300
## [211] 1.04456973 1.17835460 3.55609501 2.71695598 0.22678990 2.10176187
## [217] 2.63139783 2.22859353 1.90563125 0.86872138 1.77654152 1.23659936
## [223] 3.80733394 1.06086490 1.35549005 1.76221618 1.67893673 1.03925550
## [229] 0.19915760 1.25891111 1.59929029 1.13782698 0.82055070 3.20797488
## [235] 0.80067602 1.58422567 3.27218450 3.09691591 2.56549115 0.48595733
## [241] 1.44709292 2.32521095 0.26442002 0.32457042 4.71857798 0.30432451
## [247] 1.75934877 1.98881854 0.76414736 0.84910821 1.21167891 2.18206676
## [253] 0.74000534 3.01905545 0.70667091 0.31591957 1.85792874 1.33860395
## [259] 2.54568991 1.43473622 4.50142249 0.65428203 2.27978139 2.21015765
## [265] 1.53657710 0.76932647 1.02314035 2.37188847 1.74940609 0.40856532
## [271] 0.38779640 1.51110697 2.97517999 1.26348916 1.23646576 1.09693460
## [277] 0.70341933 0.37881695 5.04410066 2.01613592 1.63157043 2.68097355
## [283] 2.51259467 2.73830770 0.42692100 4.46385783 0.92487432 1.76338439
## [289] 3.66197979 1.22405024 1.14750621 1.86724577 0.25839123 0.98428560
## [295] 3.93485451 2.31466106 1.80744951 1.67819874 0.66624612 7.64382490
## [301] 1.37143082 3.52700468 0.38134187 2.82697037 1.43218875 1.91365830
## [307] 1.48306645 0.28028227 5.16888163 2.62169651 2.51521611 0.69482646
## [313] 1.86050044 0.07590693 0.87276966 0.57228556 0.49612485 0.32697904
## [319] 1.60590892 2.14296533 0.03316376 0.30462289 0.50900914 3.92068236
## [325] 0.66404996 0.62150910 6.35437055 1.79655563 4.04081744 0.68743878
## [331] 2.28161082 0.53438633 0.88273747 1.89585132 0.59684864 2.31895530
## [337] 1.11420220 1.16928997 3.17753306 0.38924340 2.16519120 1.36343851
## [343] 0.31678802 1.47345042 0.75350331 1.55437283 0.60565336 3.77667524
## [349] 0.58522879 1.42978904 2.24125105 0.56420854 0.72328108 2.05533879
## [355] 0.26930956 0.85147018 2.62289598 2.77840806 0.64623228 2.87572312
## [361] 0.66919174 3.01992522 1.29637269 1.19394713 1.63901391 2.29845633
## [367] 1.27652501 1.53464546 3.53699855 2.30573805 3.58295063 2.73441523
## [373] 0.48027816 1.27230808 1.35725665 1.71096233 1.11600719 0.39868770
## [379] 0.72929037 1.12239410 2.04613935 1.09302433 0.22369875 1.39550017
## [385] 0.60373818 6.21369586 0.59570038 0.87200256 1.17102644 3.41023032
## [391] 1.59489619 1.44878757 1.85621797 3.15686940 0.65483447 3.69665962
## [397] 0.95420265 1.24236026 1.71850312 3.42833448 0.42831981 3.58500473
## [403] 0.32173396 1.66995902 4.65309676 0.54817852 1.50190278 1.46428037
## [409] 1.10611585 2.05047614 3.27195217 1.32874410 2.44426055 0.92461437
## [415] 1.77381135 3.02236761 4.09665143 0.47643146 0.76474860 1.71765657
## [421] 1.23925101 3.34588973 0.53752224 3.67652254 4.02733051 3.93428414
## [427] 0.82125141 1.45009800 2.95351033 1.45736752 0.15148840 2.13193808
## [433] 2.12644851 0.94271937 4.01977092 2.85903340 1.58730123 0.28190336
## [439] 0.37786047 1.26441680 2.97735333 4.37636604 1.16402436 1.44995129
## [445] 2.48821008 2.45099618 0.27313377 1.05159658 1.29971694 2.63059119
## [451] 2.21203088 0.11158928 2.48755481 5.53368884 0.01146316 0.71637351
## [457] 2.50709675 1.52807828 1.64760953 1.68660084 0.47159430 2.79772588
## [463] 0.55575251 1.30001235 0.73655326 0.37186908 1.68959454 2.34462557
## [469] 1.41052837 0.70564035 0.34018914 1.07068617 2.72789919 1.07742087
## [475] 1.97687777 3.85512080 3.45055480 0.60194144 0.35594375 0.71744752
## [481] 1.16591088 0.32744115 2.34236695 0.84925307 3.90040865 2.55259754
## [487] 2.36447877 2.31835379 0.95216454 0.03971539 1.20472550 2.53610404
## [493] 0.14015960 2.30252667 3.89652841 1.26094436 0.50134913 5.74184240
## [499] 1.42394438 0.68936376 1.82926747 4.53057324 2.57305922 2.93651374
## [505] 0.47187585 3.05353672 0.33779937 0.58511882 2.78534221 1.32797632
## [511] 3.23716634 2.55262887 0.58561988 1.83268465 1.00835291 0.21709232
## [517] 0.35859089 0.94922510 0.47314261 2.47084122 0.32383597 1.45700567
## [523] 3.68907600 2.23024859 2.88889790 1.43325778 0.49024314 1.94614428
## [529] 0.08554780 0.44900303 3.18660520 0.42879405 0.24664341 1.73334474
## [535] 1.04260894 0.38375992 0.72123794 6.39991297 1.36320904 1.92713686
## [541] 3.96733650 1.27649400 0.29483950 1.92517646 0.90543961 2.97730785
## [547] 4.27983851 0.66473129 0.50747273 0.78496449 0.82592424 1.42779646
## [553] 0.40565354 1.34061074 2.25556976 1.55562204 0.46601720 0.77392708
## [559] 1.97701671 0.86688471 0.51770155 0.50116179 0.95155267 1.43615815
## [565] 2.38905326 2.13024832 2.81505442 1.05637985 2.96463215 0.80732659
## [571] 3.23020221 1.21148320 1.33352560 4.33094117 0.14143788 0.89556044
## [577] 1.63242745 0.31180157 0.78550368 0.47711317 1.80274315 1.66305851
## [583] 1.54564666 0.82255522 1.80252684 0.22010963 1.89855434 0.13144287
## [589] 1.75583810 0.43783707 0.50161440 5.09337538 1.27316885 2.01468764
## [595] 0.38952916 3.79469761 3.86228673 0.29286920 2.34356829 1.72617033
## [601] 0.59959226 1.08310436 1.71567356 1.40482299 3.34761980 2.21598690
## [607] 1.12550823 0.09460880 0.30831625 0.32617422 2.69820994 1.84362476
## [613] 0.22437402 0.32562631 1.14444954 0.22029687 0.38321164 1.15245983
## [619] 1.06552475 1.96378218 0.55829792 0.31313036 2.97020555 2.03609303
## [625] 1.35545857 4.45393166 1.50279927 0.62794765 0.15356491 0.80460074
## [631] 2.64295745 0.25428141 0.72315629 2.23700086 1.49079193 0.75496466
## [637] 2.49922665 0.21022341 3.66669876 1.84137253 0.97314222 2.16048884
## [643] 3.43562489 1.05690812 0.35783268 0.31184899 3.22333807 1.76938421
## [649] 1.50881999 4.73878431 1.72558253 2.21334794 1.95561860 1.30000846
## [655] 0.81387298 1.02033878 3.17533093 0.99294848 1.60140726 0.94339389
## [661] 1.47129009 0.14246725 1.17935161 0.64872445 3.05071517 0.85330590
## [667] 1.70075044 0.46909420 1.18313790 0.59309464 2.81323154 0.03864412
## [673] 0.02416184 2.12927167 3.50957865 1.20882401 0.50478213 2.85046368
## [679] 0.41967942 0.42580572 1.34254769 0.21696903 1.49358502 3.07166840
## [685] 4.99574348 0.75191182 1.60884136 1.17013607 0.89286009 1.96068474
## [691] 2.00812141 2.92370203 5.25767710 0.47173994 1.44600031 0.92453141
## [697] 3.11852254 3.45116580 0.68721751 1.75456726 0.77962571 0.16401754
## [703] 0.90930118 0.42784528 1.93655307 1.98016990 1.92760877 1.06116239
## [709] 5.09061985 7.66181551 0.73066228 0.74834428 2.93556260 0.62967981
## [715] 1.15146444 0.75965339 1.18623972 0.82350246 1.19892416 2.06296000
## [721] 0.32546255 0.95525535 2.15112797 0.30854257 0.44093849 1.33260401
## [727] 2.65689937 1.15606100 1.93685426 0.12162517 1.25419209 3.36313942
## [733] 1.16895736 0.44928082 1.64311563 2.75169374 3.02989120 0.62567067
## [739] 0.65829057 0.59886422 1.25248430 2.92629877 0.86615895 2.98949386
## [745] 0.22279391 1.33985574 0.81149905 0.32033870 1.30438606 5.99759671
## [751] 0.69597969 1.23658829 1.45356959 3.99397921 1.09095245 3.17757562
## [757] 1.20677720 1.87053571 1.83485551 1.88240802 0.21056363 1.32515400
## [763] 3.63222163 0.38309519 2.27584656 5.06827656 3.10359620 1.03723003
## [769] 3.21551624 3.20516302 2.54597482 2.23585363 4.31666969 0.33246634
## [775] 0.69207114 4.15513161 3.55078283 0.62073876 1.90817248 1.96030179
## [781] 1.79884543 1.22113736 0.90153743 1.33539708 1.19729334 2.18964086
## [787] 0.46016046 0.97985146 3.80086230 6.36126556 0.97241923 1.61360023
## [793] 4.14238429 3.31574326 1.44626624 1.50182128 0.03886612 0.78141417
## [799] 0.97775192 0.68513390 1.24564779 2.45059155 1.86563283 3.32741099
## [805] 0.61111658 0.94314274 4.99551692 4.04297852 1.10816793 2.02119645
## [811] 2.20886108 1.47421128 0.19412685 1.08473182 1.75970945 0.17812426
## [817] 0.79689317 1.70978604 2.05841506 5.22424602 1.19737791 2.54262080
## [823] 3.06192083 3.35221980 1.33929208 0.33955973 1.65066508 1.45834291
## [829] 1.08398958 5.06514133 2.13527145 0.63426407 3.13219427 1.22843154
## [835] 4.95342156 1.29425787 0.22100097 3.75275732 2.09689247 0.86156807
## [841] 0.52530865 0.52648388 3.37837961 3.23690148 1.89644200 0.05103767
## [847] 2.04556959 0.62913658 0.58085544 0.92158615 1.36591436 1.28178014
## [853] 2.35176221 0.47205452 2.58729344 0.61409394 0.53489624 0.25172073
## [859] 1.46859162 0.09974001 2.21062654 0.50177911 1.76674201 2.22127592
## [865] 0.35672828 1.29181575 0.96751773 3.21457894 2.86557062 2.03140808
## [871] 2.14702977 4.55949876 5.38609393 2.34687405 0.24154077 4.24253491
## [877] 2.68112744 0.83635713 0.42272988 1.71767113 0.56521641 2.76898288
## [883] 1.06526785 2.60407858 1.39203097 0.97186022 1.29831468 2.77476697
## [889] 1.47738373 0.52176152 0.98149278 1.85113861 2.31105804 0.82938514
## [895] 0.82594621 1.74345890 0.15876096 1.27529658 1.50185829 1.14256743
## [901] 2.74824219 1.56871506 0.31854480 1.33783699 2.73030129 1.64259356
## [907] 1.27622365 2.23267653 0.51730757 0.23151198 1.76213779 1.13464743
## [913] 0.78450484 0.34372274 2.45555710 0.42878913 1.32411731 0.83232009
## [919] 0.62657033 1.09949073 0.91493140 0.46938700 1.31181040 0.57569537
## [925] 0.45610567 4.74517098 1.04502920 0.35829342 1.81705911 1.67661807
## [931] 0.62035955 0.98020368 1.78345335 0.87720183 2.43415204 1.92640643
## [937] 0.68091865 5.72582576 0.30727508 3.35735398 1.38416107 1.75060429
## [943] 2.09764154 2.60846844 0.28264891 0.30053243 3.72571468 1.02329214
## [949] 1.34766390 0.71518999 3.62835652 0.48598586 0.94611392 2.30882783
## [955] 0.20310639 1.88572241 0.34447096 0.71707537 1.16444176 0.12958553
## [961] 1.53655886 0.64654110 3.13538526 0.63675465 0.81529565 1.24013724
## [967] 0.06161602 0.98657089 2.77036462 0.29122925 0.59272726 0.43489363
## [973] 1.42425256 2.59113105 0.25361277 0.89096907 1.30626495 3.49672936
## [979] 3.43299179 0.97415683 1.23951005 1.53350429 0.76250941 0.34032605
## [985] 0.01307323 1.34712828 1.18810983 0.37456670 4.46256767 1.11164346
## [991] 0.79589981 1.56586039 1.19325660 0.35148289 1.31323596 0.99025713
## [997] 1.84197894 1.22519358 0.66535036 1.81299351
#Uji Kecocokan Distribusi Gamma Secara Visual
hist(random_gamma, main="Histogram of gamma(1000,5/3,1)", col="red")
ks.test(random_gamma,"pgamma",shape = 5/3,scale = 1)
##
## One-sample Kolmogorov-Smirnov test
##
## data: random_gamma
## D = 0.022218, p-value = 0.7069
## alternative hypothesis: two-sided
#Bangkitan 3
n=1500
#Bangkitkan peubah acak Y
set.seed(9)
y <- rexp(n,rate = 3/5)
#Bangkitkan u berdasarkan unif(0,1)
set.seed(12)
u <- runif(n,0,1)
# Menghitung Nilai c
f <- function(y) (1/(gamma(5/3))) * (y)^(2/3) * exp(-y) #pdf distribusi Gamma
g <- function(y) (3/5) * exp(-(3/5) * y) #pdf distribusi exponential
h <- function(y) (-1) * f(y)/g(y)
derivH <- optim(par = 0, fn = h, lower = 0, method = "L-BFGS-B")
derivH$value
## [1] -1.332456
nilaic <- -derivH$value #Tambahkan negatif
#Kriteria penerimaan
criteria <- u < f(y)/(nilaic*g(y))
head(criteria)
## [1] TRUE TRUE TRUE TRUE TRUE TRUE
#Menjadikan Y sebagai X
x <- y[criteria]
head(x)
## [1] 2.338486712 2.465381445 2.092963899 1.950683780 0.562309856 0.009786273
#Banyaknya Amatan
length(x)
## [1] 1151
#Karena >1000 ambil 1000 saja
x <- x[1:1000]
random_gamma=x
print(random_gamma)
## [1] 2.338486712 2.465381445 2.092963899 1.950683780 0.562309856
## [6] 0.009786273 1.495610021 1.619693737 1.877418707 1.179310487
## [11] 4.076078160 2.122610623 2.034305787 0.231752041 1.160358597
## [16] 0.938866042 3.182707124 0.737825492 3.028741473 2.120428065
## [21] 3.322501055 1.076288483 0.594885592 2.930053761 0.293490616
## [26] 0.277126060 0.539129263 0.828519313 0.480478731 2.557090117
## [31] 1.622222209 1.992939610 3.618313381 1.677582005 0.981866048
## [36] 2.726070334 3.187103507 0.496826654 3.393084885 1.965452121
## [41] 3.436010129 1.180341597 2.805133250 2.285481893 2.494785220
## [46] 4.350672423 0.758492620 2.766230761 1.395426049 3.434849611
## [51] 2.536111305 1.462650200 1.367222617 0.316875963 0.171260930
## [56] 0.494801751 1.949280958 0.132327044 0.596976262 0.458623384
## [61] 1.433425364 1.339535465 3.266001800 0.857534222 2.172297126
## [66] 0.843748562 3.723133756 0.252410440 3.433693973 2.239796640
## [71] 1.548582759 0.716094153 2.063321232 0.934448214 0.196745401
## [76] 1.399474650 2.590748304 0.649228389 1.733962494 0.285074795
## [81] 1.758090435 0.964798564 1.308188879 0.317645236 1.906111372
## [86] 2.510964864 3.150322313 2.165462749 1.627337212 1.160373775
## [91] 0.961460841 2.284828707 3.619385706 1.935139574 1.071826737
## [96] 2.745559047 2.347521549 2.120746447 3.087600078 0.437202992
## [101] 1.083452773 0.316158833 1.000174157 2.101679477 0.639196206
## [106] 0.383937003 0.238982795 0.403401758 0.589253140 1.010053947
## [111] 2.071464515 2.648457087 3.252763161 0.093459569 0.846062142
## [116] 1.703936470 6.515468418 3.006357935 1.139566353 0.171938834
## [121] 4.714135167 2.186828462 4.803629052 2.114824730 0.387567928
## [126] 0.635287090 1.953919304 1.624675370 1.288054129 0.904913944
## [131] 0.691290341 1.408236232 2.363994657 3.170955752 1.594313178
## [136] 1.931631346 0.055111622 1.128533479 1.855534422 2.044799157
## [141] 0.284561072 1.350150147 0.181419818 1.879332606 0.637682486
## [146] 0.463285744 1.179216014 2.748867043 0.390572012 1.244075741
## [151] 1.961383869 2.079031247 0.233850180 4.889723944 1.198844775
## [156] 2.208855593 2.144823447 1.716792388 0.478329371 0.572187716
## [161] 0.204287644 1.910283167 2.391814667 0.223632047 2.636112953
## [166] 0.569956036 1.017302312 3.222661127 3.783907719 3.161615295
## [171] 0.764300725 2.658653889 1.751321621 2.922335792 0.668340984
## [176] 0.228027486 0.797759828 0.474628313 2.633234712 0.330370642
## [181] 2.403678592 0.568191238 2.175758180 1.089097372 5.639028686
## [186] 0.062374317 0.770069823 1.496165966 0.684911222 0.755599816
## [191] 0.685864602 4.498848608 1.334596149 0.249577526 0.267376896
## [196] 0.553525628 2.218997050 0.371987767 1.722297446 1.988468642
## [201] 2.416519473 1.749613276 2.976378702 0.592974680 0.752959450
## [206] 2.787087547 3.179087670 1.239612047 1.363970526 1.163046696
## [211] 2.069403715 2.013541974 1.725235976 1.631964901 0.574507173
## [216] 0.798755701 1.849355022 0.956233747 2.697578920 1.415782121
## [221] 0.419736935 1.560275716 1.960095658 1.768334319 0.404223528
## [226] 1.938335850 3.141104330 1.734786941 0.974517733 2.014139805
## [231] 0.753366078 1.854123052 1.166998569 0.465178981 1.780321052
## [236] 1.112816374 5.217527200 2.930277114 3.178602882 1.718318896
## [241] 1.682503776 1.239792694 4.176334369 0.621425201 0.663751253
## [246] 0.582707957 2.630422640 1.164070130 0.147167279 1.270192128
## [251] 0.851685919 0.444200789 1.833843828 0.592780562 3.513980156
## [256] 1.153765585 0.785603146 0.469839090 2.575448642 0.537084831
## [261] 0.276404365 3.886429768 0.373848417 1.963012979 1.817776098
## [266] 1.078342258 3.516437712 0.426153576 0.211250073 4.712389335
## [271] 0.544845656 2.319999082 6.511354331 2.946115751 1.833237973
## [276] 1.048591275 0.037965699 4.864886577 6.851731672 1.186976420
## [281] 2.270336339 0.293948761 0.659216118 1.197649158 0.857613550
## [286] 1.871051718 1.520066995 3.087441657 0.149096431 0.558567281
## [291] 0.979824102 1.620750992 1.455588707 1.948638602 1.514935796
## [296] 1.571800491 1.375678717 0.727310378 2.275172736 2.803985268
## [301] 0.894399112 3.943708535 4.210075006 0.167573706 1.689339712
## [306] 2.405988934 1.555658318 3.375837402 0.470530083 0.906826304
## [311] 1.149326134 0.580117167 0.030198166 0.211924740 1.302118871
## [316] 1.994514608 2.918470468 1.067467873 2.627558390 1.096254970
## [321] 0.534740069 2.386686439 1.911968269 1.638791979 3.563822734
## [326] 1.408460422 2.202173641 1.761408118 0.919318870 0.424643875
## [331] 1.074802346 1.531384058 3.313497116 0.416238979 0.258683376
## [336] 0.472628870 1.812306276 0.298499658 2.501368252 0.382520524
## [341] 0.258812867 0.590623409 1.579652370 1.992962509 0.288788537
## [346] 5.162957149 2.848745590 1.364926326 0.762401859 0.152228070
## [351] 1.039533191 3.346554591 2.776842819 2.482424111 1.975656357
## [356] 0.231339943 2.631979631 2.665134457 0.895111278 1.889328065
## [361] 2.881139067 0.897691451 3.580131652 0.347411023 6.809277717
## [366] 1.317636877 0.901728171 2.835649721 3.766027630 0.764010812
## [371] 0.625216930 1.405307117 0.849833523 0.646702008 1.008015110
## [376] 1.403302878 2.222826890 0.447727227 1.830861004 0.441167373
## [381] 1.258222474 0.661288258 0.875215138 0.732877653 2.195280415
## [386] 1.395659237 0.304977326 5.341759072 0.824400097 2.093719354
## [391] 1.534867563 1.080770149 2.422814471 1.775943785 4.355301245
## [396] 1.177385344 1.459624429 3.383592358 0.485187747 0.400237388
## [401] 0.776012492 2.676028367 0.156017373 1.825980168 0.691510620
## [406] 2.459502197 2.269663193 1.388022137 1.708260205 0.396527160
## [411] 1.439522379 1.136784775 1.133717681 1.324657781 1.614944680
## [416] 0.203308420 1.841393327 4.261380511 0.899389066 2.664194107
## [421] 4.348982793 0.904141741 2.015162559 2.014697095 1.570087733
## [426] 1.168793769 0.327733182 0.133473971 2.496090724 1.158738739
## [431] 3.067881636 1.156606965 0.201728284 2.118808587 1.605989818
## [436] 0.715471123 2.957933393 1.300115338 0.993466762 0.647559588
## [441] 0.775013444 2.159568251 1.230629906 0.448246462 0.728829650
## [446] 2.961819786 0.249787476 4.632137728 1.446860251 0.173150556
## [451] 0.675821574 0.709266691 1.212587944 1.006616458 1.662715234
## [456] 0.248646072 1.371227262 0.676163236 2.914651738 0.721519924
## [461] 0.651797796 0.554023903 3.309570743 0.945869014 1.928637042
## [466] 0.796864082 0.765662626 0.883949806 0.589510451 0.763899336
## [471] 0.431384410 1.133658914 1.983849527 2.288808216 1.162738510
## [476] 1.036417661 1.095544087 3.298494826 0.197554010 1.447409115
## [481] 0.553301560 0.886099350 0.983552466 0.019546391 0.956113653
## [486] 1.015086742 0.528908685 1.448484873 0.580102159 2.751432164
## [491] 0.488539160 4.180267636 2.080166874 1.480747865 0.411312270
## [496] 7.544191560 6.491742739 2.114927632 3.230686361 0.820376104
## [501] 1.677888522 1.035892503 0.708641189 0.386540469 2.216108778
## [506] 0.860302558 2.544591991 2.054107839 1.178379212 2.465616933
## [511] 0.381060628 2.746275902 0.835169659 3.276900950 1.696002440
## [516] 0.741744058 2.731225515 2.521086136 0.199400974 0.772184855
## [521] 1.568979733 0.913781202 0.208425931 2.531180302 1.529997127
## [526] 5.817571823 0.910499267 2.206040037 0.960240688 0.997146689
## [531] 0.939929620 1.866814724 4.381028386 0.844292326 0.344283524
## [536] 0.509527988 0.473382065 0.638989847 0.828740816 0.658437603
## [541] 1.993221464 0.695104507 2.373522653 0.715870073 1.138640707
## [546] 4.110255924 2.018404299 2.295555257 0.015144946 2.828700974
## [551] 1.210272752 1.367836359 5.418858255 1.303481393 1.860481612
## [556] 3.337451878 0.165082182 0.377057272 0.704315270 1.461769316
## [561] 0.569359858 0.121576715 2.977488894 1.489146762 0.358935833
## [566] 0.426439609 0.665145463 1.198225827 2.980712587 3.007281090
## [571] 0.785296718 1.322069252 1.695178694 1.750054730 2.469617252
## [576] 0.584918852 1.657592971 1.294680312 1.540994745 1.735190444
## [581] 1.585473961 1.088859419 2.052904375 1.319531628 2.903208956
## [586] 1.968108066 1.052744986 1.380776086 1.032739295 1.370020189
## [591] 4.126908347 0.699838200 0.584306412 3.147731563 0.916309280
## [596] 0.434789436 3.322124015 0.973650962 1.111601970 2.096976467
## [601] 2.438235987 0.234516372 0.901909872 1.838779016 0.266621251
## [606] 1.297619002 6.023697440 3.308103436 4.594432727 2.488736263
## [611] 0.630709892 1.620552965 2.395612728 0.704739731 0.744075240
## [616] 0.853505172 1.389349660 1.377559304 0.430060157 1.698918953
## [621] 1.077016692 0.994346179 1.024942517 1.133975463 2.987937951
## [626] 3.547064970 1.285159344 0.367218905 0.941202168 2.897849424
## [631] 0.422625413 1.594302988 2.923674562 2.594552080 0.127384810
## [636] 0.761603075 3.495873917 4.951247435 0.343780968 0.450962237
## [641] 0.468448692 1.570492179 0.512801139 3.099955572 0.613413038
## [646] 0.973567949 0.331101816 3.398789242 0.698292778 2.377123482
## [651] 1.214821339 2.520542267 3.041917805 0.184893397 0.481144190
## [656] 0.224207230 2.432142002 0.510961140 0.427148791 0.614362198
## [661] 0.720747168 1.165845309 1.241734343 1.960798044 1.524885174
## [666] 1.434299625 0.891004032 1.579678939 0.277007495 5.463744725
## [671] 0.175408316 0.928061333 0.359035534 0.038905924 3.941925675
## [676] 5.274867353 2.027155867 3.198820529 1.393132040 2.017567670
## [681] 1.147909098 0.420951173 1.286627661 1.930284911 1.802121301
## [686] 0.955671196 2.145862823 0.638789057 0.758606771 1.030022451
## [691] 2.167067745 0.330753469 1.852687900 1.726829414 2.084428935
## [696] 0.127408888 1.518301329 0.547434064 1.326067400 1.944346280
## [701] 3.094674647 4.277072161 2.555719182 1.649655793 0.343246896
## [706] 0.224322032 1.314713921 1.834008400 1.152437072 0.935534835
## [711] 1.967066225 0.865980079 5.543674081 2.350960582 0.017249887
## [716] 0.629276266 1.509598864 0.208617518 2.593812287 2.132363055
## [721] 1.064444338 1.818354400 1.504342483 1.357684950 1.126534154
## [726] 0.889603066 1.248490304 0.833396561 1.276004066 0.710092306
## [731] 0.941982414 0.110024060 1.255923232 0.723817851 1.771590964
## [736] 1.332413446 0.150670249 3.314918124 7.152349483 1.321871256
## [741] 3.618492605 1.627189613 0.682009220 4.711139840 0.264922921
## [746] 2.222785060 0.725351924 0.590056562 0.972680808 1.134346789
## [751] 0.527947871 2.988351316 0.956778993 1.822717767 0.618482848
## [756] 6.124508961 2.097723555 0.120397082 0.920077964 2.547126887
## [761] 0.606120232 1.087317703 0.985003330 1.093130805 2.304486679
## [766] 0.732168679 0.698220642 0.577135720 9.579491102 6.992426708
## [771] 0.436351151 1.250684379 0.533062738 2.874918338 0.651660755
## [776] 1.624484028 1.738501020 0.747437334 1.156095252 0.343393872
## [781] 2.155094552 1.045668725 1.688164857 2.315299793 3.484486719
## [786] 8.621674257 1.902513707 2.489475303 0.946892298 4.339920130
## [791] 2.941060553 1.942372698 4.507517296 0.869006663 0.161007024
## [796] 0.004074704 0.553867520 3.401813640 1.211915259 3.317402570
## [801] 0.924609478 0.549810758 2.427688107 1.854035648 1.333899374
## [806] 2.921934171 0.669595399 3.895216390 0.431659069 1.524664597
## [811] 1.426445978 2.201791472 0.978610554 0.691160401 2.105931767
## [816] 3.295938248 0.811225055 2.464080549 2.492029741 2.172110019
## [821] 1.755459949 1.027775649 0.431012616 1.972102599 0.831224355
## [826] 3.373091711 1.344550235 1.504471595 2.329138731 0.389117407
## [831] 1.633899192 2.575284112 3.870643345 1.708902403 0.673739507
## [836] 0.094686080 0.660208249 0.894243049 0.258464379 1.061573101
## [841] 0.827478359 1.157308232 0.677957118 1.237822629 1.567759943
## [846] 1.638040283 1.048548199 4.690475636 1.546807943 1.593649031
## [851] 0.917226924 2.396011341 2.768457839 2.101560637 2.862636838
## [856] 1.052766447 2.555390371 1.159543069 0.318834299 1.152746811
## [861] 1.200671735 3.227626327 0.747197993 1.999223777 1.222345522
## [866] 0.781494946 0.259437954 2.353893200 0.950669247 0.101941446
## [871] 4.098844693 2.165928228 4.140956374 5.577133869 3.580250639
## [876] 4.261155640 1.008823659 1.620375359 2.102454446 4.316960359
## [881] 0.639110326 1.827854665 0.150836669 2.057614596 0.553791799
## [886] 2.431953145 1.265908095 0.367107739 0.804001450 4.242795740
## [891] 0.238127074 1.473090835 1.875154241 1.308579518 0.234378303
## [896] 1.289662559 3.141994746 2.463388285 1.412812812 2.386996426
## [901] 6.615405514 1.888919217 0.052802897 2.209473443 3.114837565
## [906] 2.595632452 1.409627111 1.693504229 0.852976503 0.461398556
## [911] 2.820084837 0.943817514 0.876814084 0.583322116 0.472943975
## [916] 0.330599233 0.131777932 0.547839251 1.800821414 2.583889945
## [921] 2.131556538 1.094254224 1.169917275 3.810687329 2.165620807
## [926] 1.606515758 0.570419480 1.943666640 0.634962420 0.085387750
## [931] 1.136452484 0.202846475 5.138958146 1.814352570 0.123880842
## [936] 0.824374199 3.916868506 0.706703129 0.347628595 1.144447461
## [941] 1.018048512 2.506174035 1.490873766 0.381439318 2.652550228
## [946] 0.566870758 2.431221393 0.392229295 1.334579904 0.608550701
## [951] 11.237719825 1.012577889 3.005374460 1.131099503 0.107083887
## [956] 2.284366277 2.867641775 1.001873265 0.875786423 2.352983484
## [961] 2.375844653 2.412439045 2.949481299 0.718100083 1.866041953
## [966] 0.794056217 1.100140926 0.725324540 0.621003917 1.464395165
## [971] 1.732187235 0.369952875 5.535192166 0.594584209 3.287800755
## [976] 1.513540295 0.792393447 0.383836774 2.459959413 1.658598235
## [981] 2.473845407 1.947122002 1.539414394 0.950920418 3.516548329
## [986] 0.606943507 1.773810925 0.975166233 2.039603142 1.284148056
## [991] 0.665093937 3.473408411 1.350474864 0.839580069 6.203875501
## [996] 0.562683254 0.606060755 1.141817576 0.640554201 0.222102338
#Uji Kecocokan Distribusi Gamma Secara Visual
hist(random_gamma, main="Histogram of gamma(1000,5/3,1)", col="red")
ks.test(random_gamma,"pgamma",shape = 5/3,scale = 1)
##
## One-sample Kolmogorov-Smirnov test
##
## data: random_gamma
## D = 0.019236, p-value = 0.8531
## alternative hypothesis: two-sided
#Bangkitan 4
n=1500
#Bangkitkan peubah acak Y
set.seed(10)
y <- rexp(n,rate = 3/5)
#Bangkitkan u berdasarkan unif(0,1)
set.seed(13)
u <- runif(n,0,1)
# Menghitung Nilai c
f <- function(y) (1/(gamma(5/3))) * (y)^(2/3) * exp(-y) #pdf distribusi Gamma
g <- function(y) (3/5) * exp(-(3/5) * y) #pdf distribusi exponential
h <- function(y) (-1) * f(y)/g(y)
derivH <- optim(par = 0, fn = h, lower = 0, method = "L-BFGS-B")
derivH$value
## [1] -1.332456
nilaic <- -derivH$value #Tambahkan negatif
#Kriteria penerimaan
criteria <- u < f(y)/(nilaic*g(y))
head(criteria)
## [1] FALSE TRUE TRUE TRUE FALSE TRUE
#Menjadikan Y sebagai X
x <- y[criteria]
head(x)
## [1] 1.533702 1.253598 2.625070 1.811122 3.879371 1.215206
#Banyaknya Amatan
length(x)
## [1] 1125
#Karena >1000 ambil 1000 saja
x <- x[1:1000]
random_gamma=x
print(random_gamma)
## [1] 1.53370201 1.25359823 2.62506975 1.81112167 3.87937145 1.21520637
## [7] 2.14718351 1.12044714 0.71088299 1.85903658 2.19424511 0.68882305
## [13] 1.12762555 2.72163980 4.28141936 2.90786449 0.48825011 1.07550860
## [19] 0.57820400 1.32513772 2.32716530 2.33017904 1.85076573 0.28403599
## [25] 3.19796888 0.27740657 1.61714998 4.65501619 1.11206398 0.87040581
## [31] 0.24452150 1.25205718 3.81427702 0.47118859 5.04932190 1.97366595
## [37] 0.41183201 3.35912661 0.99331002 1.31737128 2.86527866 2.91251351
## [43] 1.75268835 2.03276321 1.11592777 2.34516166 5.04724339 0.55127760
## [49] 0.64502744 2.06115000 3.09011922 0.67649183 0.29940945 0.38156517
## [55] 0.66873509 3.84018742 0.21808585 3.35286649 2.71773826 1.02589423
## [61] 5.45344930 0.89680171 2.63704331 0.12282975 0.49456505 2.39863260
## [67] 2.60671317 1.07463458 2.24536792 3.61561595 3.65132819 1.71162383
## [73] 3.04464758 1.42574822 0.05467165 2.23457516 2.24368050 0.87348136
## [79] 1.21642228 0.87729927 0.87265601 0.81765800 0.69275754 1.54638276
## [85] 2.34117415 1.70203542 0.42317870 0.78459298 3.06846024 3.87521640
## [91] 3.72433333 5.21855887 1.47857548 0.25772182 0.54176366 0.87211893
## [97] 2.24513027 5.54917329 0.88228271 0.61477850 3.58154391 0.90217398
## [103] 1.63041653 2.74496941 1.07444383 2.07731856 0.10248597 1.40653509
## [109] 0.90307287 1.32617439 1.58943420 0.26795427 5.18397822 4.31320251
## [115] 0.78000763 3.04578579 2.56351087 1.05620261 1.87481621 1.28661640
## [121] 0.34333529 2.24859215 6.55463831 2.09134387 2.81431310 0.26298630
## [127] 0.82569777 0.76487930 1.10052384 0.98976900 0.67389760 0.51836573
## [133] 0.11585851 2.80165645 1.80764603 2.16421140 2.03368193 3.21794576
## [139] 1.05659123 1.91263887 0.76227165 2.14834680 3.26687850 5.29959801
## [145] 1.43099577 1.69100275 1.10418732 3.69316442 0.83690067 0.24300219
## [151] 0.80636077 3.81567134 1.74991718 3.62442896 1.03361186 0.68192898
## [157] 2.01345774 2.09163165 0.69478774 0.76026703 0.54922887 1.42301146
## [163] 0.80016718 4.11551011 0.45531557 2.29740900 1.89829488 0.77380502
## [169] 0.42524010 2.02240959 4.04048390 1.51892803 0.06162972 3.77154679
## [175] 2.14254363 1.13404187 1.07944370 2.42692895 3.69126649 2.74597217
## [181] 5.31284049 0.60580270 4.15708188 0.77898930 2.44663028 2.45403241
## [187] 0.79193391 0.43210368 0.83608390 0.41596950 2.47209701 0.63329951
## [193] 0.61819797 0.11692999 2.31003480 2.57250834 1.79803848 0.38475711
## [199] 0.45928272 0.54071345 4.17112019 0.86810194 3.04859127 1.75908699
## [205] 5.67690562 1.67379403 1.49041070 2.62917730 0.42858782 2.07962389
## [211] 2.42668547 0.55761740 2.01651634 0.89459312 0.41618188 1.31724186
## [217] 2.42904840 2.16606529 1.69985647 0.67724504 1.86588681 4.19666723
## [223] 0.15262281 3.24124731 0.51212017 0.49780832 0.64888495 1.37270920
## [229] 1.44444228 1.19546574 1.89002259 1.51533824 0.44057846 0.08321927
## [235] 0.19629473 4.05239991 2.45891103 2.46839157 2.71786524 0.48259601
## [241] 0.53066246 0.34556229 0.35965975 1.12181392 0.82965922 0.04124732
## [247] 8.51246074 2.12842000 3.18414679 1.89508215 0.29376434 0.75622811
## [253] 0.46737460 2.54639134 1.55825688 0.82103402 0.82019306 2.48926252
## [259] 2.34028577 1.98600302 0.62211474 1.22566106 2.14500600 0.76152609
## [265] 0.35063631 2.16653897 1.94369554 3.35417853 1.90925388 0.49944081
## [271] 0.17382483 0.73713860 0.74180640 1.24939937 1.52674070 0.95307185
## [277] 3.07780799 0.49551659 0.42186530 1.07170597 1.67490644 0.92804281
## [283] 2.29712623 3.93862774 0.99538181 4.04008433 1.32874853 2.28365016
## [289] 1.11900186 0.90722055 4.57246993 2.05111397 0.07241339 0.99275144
## [295] 1.36806942 0.38744271 2.78219776 1.66890114 1.63869193 0.61547551
## [301] 0.79702022 2.59339981 1.57728930 1.90884827 1.29159717 1.43177117
## [307] 1.90866646 0.70160679 1.55846013 1.59179244 1.64318824 1.98944749
## [313] 0.77838260 1.28007916 3.14511104 0.23617030 0.06265762 0.62409369
## [319] 0.52910074 0.04228628 0.68870561 0.81134529 0.41091560 0.22329563
## [325] 0.88735355 2.86273676 3.51335665 0.99070033 0.25870598 0.04897433
## [331] 1.19642824 0.17078501 1.39824665 3.63052936 1.50034892 1.90853040
## [337] 0.65943245 0.89164980 0.33374126 3.76074001 1.37838078 2.59583185
## [343] 2.40589553 2.32559315 1.23040307 2.71263058 1.75839015 0.44707493
## [349] 0.96703388 2.35789492 1.48738131 0.67253552 1.07163894 0.53284422
## [355] 1.31731727 3.15869827 0.20968291 0.54658760 1.53571320 2.33960731
## [361] 1.96886405 0.59128885 2.95519717 1.90680497 0.30756696 2.27058552
## [367] 1.72493163 3.51574465 4.30066316 0.61572179 4.99156659 0.18797780
## [373] 1.87268337 2.17601347 0.48665462 2.74634018 4.11293088 1.37097755
## [379] 0.75907777 0.91351125 1.33797979 0.76582059 0.48460680 2.21902945
## [385] 2.73636642 3.11030151 0.41208058 2.70049059 1.08274297 0.86897789
## [391] 0.02592539 0.92069747 2.02441549 1.98663200 0.47365644 1.75733908
## [397] 3.26034066 0.19245052 0.36013423 3.14616526 1.36678963 2.95178768
## [403] 0.60648391 1.58303931 0.47104777 0.65139878 0.84807284 2.31730141
## [409] 2.06784825 1.20536136 1.69970746 1.57779892 1.35805644 1.88486441
## [415] 3.78651656 2.81696158 1.50352836 1.64733990 3.60329289 0.84872542
## [421] 1.45266140 2.56504967 6.71526050 3.91631891 4.61851160 2.29147477
## [427] 1.61660456 0.37938524 4.75359807 1.28100447 1.07177117 1.33639862
## [433] 1.95688137 0.79953794 2.32639201 1.69067260 0.46665898 3.06458695
## [439] 1.37776310 1.02568775 0.70059736 2.69353321 1.38594441 0.94907426
## [445] 0.71578268 2.90167799 0.09287748 2.79899679 1.02389434 2.11406946
## [451] 0.25819029 2.26600585 2.89945991 2.15937793 3.97653491 0.64300883
## [457] 0.34960843 4.24684299 0.73757283 1.45940487 1.66594416 2.04122334
## [463] 0.78324188 2.10316786 7.51383074 4.15995432 0.55663990 0.62596469
## [469] 1.44018920 0.08439173 2.04677918 0.08011308 0.87667389 1.97138353
## [475] 3.98546851 1.59207185 1.76753179 2.53215792 1.94562190 0.64291569
## [481] 0.13440997 0.95262460 3.23518150 1.34430737 1.86848958 4.46190634
## [487] 1.76186646 2.00503925 2.31522532 0.98440187 2.52509406 1.79038187
## [493] 2.03610324 2.78812105 1.13225848 2.59363423 1.40369473 1.04457943
## [499] 3.13569055 0.90269362 0.07681575 2.27405141 0.34646389 1.71608941
## [505] 1.58691275 0.80802458 1.08234934 1.12002315 1.01300973 2.42321932
## [511] 0.81687587 2.01136410 2.99169040 2.74014923 2.83165332 2.02645863
## [517] 1.68296735 4.66342315 0.81825165 1.45481835 0.83607163 1.41349601
## [523] 1.41496880 1.45563557 2.89369243 0.72021460 1.05726066 1.70764760
## [529] 4.13052475 0.75049524 4.28287493 0.65929396 0.95373435 1.73968812
## [535] 0.23336802 1.15656235 2.44352511 0.44045639 3.20118374 2.66736375
## [541] 3.57378601 2.36576842 0.34495143 2.47696005 0.89465980 0.42178607
## [547] 3.31528727 1.91226029 0.81739211 3.22595450 1.52193340 0.86853705
## [553] 1.59547639 1.55319692 0.42405462 4.34481412 2.29015410 4.64907600
## [559] 3.44222761 0.80084176 2.88083145 1.94315824 0.92724509 0.69039752
## [565] 2.05613742 3.03916482 1.74198908 1.38741781 3.22108151 1.39128492
## [571] 0.98484792 0.87441604 2.41924246 0.32953200 2.41384333 0.57053731
## [577] 2.35363573 2.18596981 1.56972289 0.73098910 0.43585824 0.69861147
## [583] 0.42183624 1.00786696 2.91416086 0.40977273 1.39480397 0.27743087
## [589] 2.54699321 0.65098016 1.64329009 0.25619969 0.60139093 3.82242237
## [595] 0.75333658 1.18809104 0.58033725 2.24055099 2.91534529 0.57430927
## [601] 0.25408361 0.63776792 2.39836073 1.73169524 1.23305967 0.16347417
## [607] 0.29753155 1.16239412 2.22381492 2.59147426 0.64599622 1.83034109
## [613] 1.94417581 5.34425636 0.31855603 2.27546765 2.39833441 1.78921250
## [619] 6.77473613 4.11508577 0.62317951 3.89387764 0.85119432 1.06822038
## [625] 1.03496806 3.74650137 2.54219924 3.02970806 1.31474150 1.09546759
## [631] 2.52544080 1.59481164 1.18100019 1.57066768 3.83516148 2.30649863
## [637] 1.58051001 3.53115791 3.23248302 0.69836705 0.78918853 1.40178342
## [643] 2.89798330 1.45961240 2.88590011 1.85618522 0.17445390 0.88366924
## [649] 0.90559165 1.77552759 0.55057031 0.26621785 2.24359068 0.63710902
## [655] 3.60946612 0.34963378 1.29965405 1.27612911 0.41822361 0.53606325
## [661] 0.87092586 0.42355717 0.44155064 2.00020238 1.51640509 0.30387426
## [667] 2.34808536 1.61016663 1.03924255 1.57242020 0.92402379 2.44607761
## [673] 2.40044485 1.45730129 0.94161362 2.85607992 0.75625926 1.33537558
## [679] 3.00578156 0.49663177 3.26873403 0.28456408 0.61594382 3.01722656
## [685] 1.33943460 1.67060059 0.62560409 1.93903998 7.18420608 4.69986747
## [691] 0.13104397 2.03110719 0.90488884 2.30002686 2.09054555 0.68360434
## [697] 1.69220728 2.37907829 1.50353298 1.99663670 0.92595859 1.71148042
## [703] 2.31290075 1.24383942 0.78478735 5.16380249 2.43782727 1.05347538
## [709] 0.93854199 0.50611515 0.90705911 0.53023431 1.43341372 0.91774196
## [715] 1.87412107 1.55953737 2.53016734 0.78569855 3.06764259 4.48096426
## [721] 0.34578260 2.30014870 1.18132994 2.09864204 2.80909911 0.98739040
## [727] 0.70007283 0.94623318 1.45512576 1.49637538 1.03908830 0.99679239
## [733] 1.01375673 5.78816787 1.42259293 1.74366530 0.80521791 5.12416746
## [739] 4.30228671 3.17486861 1.25286054 1.29920546 1.34676992 1.25121644
## [745] 0.23997301 1.38564487 0.25691813 1.12333170 0.73898443 0.72204224
## [751] 0.94652386 1.92571948 0.57532645 1.21608897 2.98224724 0.48278633
## [757] 1.66950646 3.00470903 0.72957473 2.07422897 1.51745352 1.23535090
## [763] 0.67326787 0.40973076 2.27171038 0.35420318 1.41959032 0.42582440
## [769] 1.13817546 0.20726248 2.26296315 3.25838859 1.42845994 0.66837547
## [775] 1.74535735 3.97425259 0.96143557 0.18963954 1.51494100 1.80583566
## [781] 0.26520522 8.06305888 0.85350516 3.03209359 0.52998969 0.33823949
## [787] 2.09343464 2.08639221 0.16862003 1.14421664 0.15942281 1.98157879
## [793] 0.60384819 5.75447662 1.37906092 0.82992998 0.48899918 4.55653854
## [799] 0.43311496 0.15673489 2.16833281 0.62831828 0.82620389 3.31312249
## [805] 1.87497834 0.88517223 1.08840067 2.93807298 0.71044081 1.28887029
## [811] 1.98117939 0.33373100 1.11335322 1.40653777 1.97168905 0.99973660
## [817] 0.63452518 2.12749188 1.32402499 1.04132811 0.34135230 0.69021904
## [823] 0.92520771 2.00139090 0.64450952 0.83987243 1.41486002 2.53176562
## [829] 1.74828469 0.97339266 2.93589902 1.22188498 2.26769291 0.07153769
## [835] 1.26037189 1.81144712 1.70848735 3.90460681 3.73205855 0.45893548
## [841] 1.56641122 0.58771638 0.96024194 2.36568150 2.31485664 2.83566752
## [847] 1.35920651 1.41864566 0.55568251 1.24224236 0.83037675 1.70406616
## [853] 1.40640270 0.53801364 3.38577637 0.69376351 0.27861990 1.76647786
## [859] 0.86328908 0.53018946 1.22179868 0.67112160 0.80525254 0.37222751
## [865] 0.50117381 1.55717872 0.99164833 1.98592311 2.23374056 6.81420742
## [871] 0.37819454 1.93378292 0.51903073 1.63828068 2.38355680 1.51920511
## [877] 2.06807440 2.87923962 2.62891192 0.25655359 2.89603697 3.84879408
## [883] 3.28747335 5.56318084 0.82020480 0.35516332 0.67029453 1.34744935
## [889] 1.56179358 3.07477691 1.38693928 1.39558676 3.58161625 3.10210962
## [895] 0.85795368 0.81699807 0.71694812 2.45553006 4.29355813 0.75876377
## [901] 1.91933775 0.89246562 0.51040038 1.30833866 2.86755358 0.99602738
## [907] 1.46491583 2.92698328 2.23009537 1.89251556 0.79383340 2.99419863
## [913] 1.97407437 2.82730855 0.46293090 0.04992272 4.88813960 2.49386118
## [919] 1.62931517 1.64466093 0.36486158 0.85177690 2.23822189 1.10858758
## [925] 2.58748633 1.44228329 0.50494246 0.17284843 1.15320948 1.77483540
## [931] 4.99948360 1.34748434 0.34460620 0.46855886 3.14423670 2.61555210
## [937] 0.49479413 1.61294519 0.82776144 11.47117016 1.10956468 1.16914614
## [943] 6.64186712 1.20589648 1.79156373 0.57053041 1.99815816 1.88522080
## [949] 1.01371577 2.13476122 2.14766832 0.13295437 3.10925687 0.79498788
## [955] 1.25340547 0.97654010 0.29569079 0.46322004 0.38420250 2.76410818
## [961] 0.42268726 0.55838818 1.78599559 0.49231968 0.65154210 0.65317945
## [967] 1.16856132 4.63992474 0.94342875 0.88834627 1.00078755 1.02407259
## [973] 1.30785127 2.75193972 0.16183618 1.26219178 1.22341206 2.08438598
## [979] 4.24165781 0.13229566 3.44547316 2.14486321 1.31885759 2.10979370
## [985] 1.64299978 1.11078897 3.43246718 2.21055333 0.28967716 0.29683672
## [991] 2.85923129 1.29874381 1.24431787 0.51405510 0.48714628 1.01546237
## [997] 0.30407432 0.21974937 0.27173699 0.64161808
#Bangkitan 5
n=1500
#Bangkitkan peubah acak Y
set.seed(11)
y <- rexp(n,rate = 3/5)
#Bangkitkan u berdasarkan unif(0,1)
set.seed(14)
u <- runif(n,0,1)
# Menghitung Nilai c
f <- function(y) (1/(gamma(5/3))) * (y)^(2/3) * exp(-y) #pdf distribusi Gamma
g <- function(y) (3/5) * exp(-(3/5) * y) #pdf distribusi exponential
h <- function(y) (-1) * f(y)/g(y)
derivH <- optim(par = 0, fn = h, lower = 0, method = "L-BFGS-B")
derivH$value
## [1] -1.332456
nilaic <- -derivH$value #Tambahkan negatif
#Kriteria penerimaan
criteria <- u < f(y)/(nilaic*g(y))
head(criteria)
## [1] TRUE FALSE FALSE FALSE FALSE TRUE
#Menjadikan Y sebagai X
x <- y[criteria]
head(x)
## [1] 1.3369106 1.4217454 2.1384074 0.7799583 0.2456191 1.3373816
#Banyaknya Amatan
length(x)
## [1] 1133
#Karena >1000 ambil 1000 saja
x <- x[1:1000]
random_gamma=x
print(random_gamma)
## [1] 1.33691060 1.42174536 2.13840742 0.77995831 0.24561907 1.33738156
## [7] 1.39058332 1.91383215 1.82423452 2.31160067 2.14290825 1.67310769
## [13] 2.23377600 3.34266439 1.04222735 0.47343996 1.33440068 1.19526366
## [19] 4.86937192 1.53535082 7.54278697 0.32586922 1.41162568 1.63181182
## [25] 0.32327796 2.44029017 0.84121114 2.96493869 0.83770671 4.84298125
## [31] 0.39911714 0.62015759 1.39150663 0.31246382 1.70420873 1.91532224
## [37] 2.36925307 2.79465793 0.49633197 1.04426902 2.73269856 2.53348508
## [43] 0.29002353 3.09278799 2.21556702 2.21427342 3.39762611 1.24847125
## [49] 0.63789619 0.80134378 2.55147914 0.68768829 4.19787656 1.92879103
## [55] 1.50702318 0.51824044 2.53915647 2.91762345 1.18479151 2.52554446
## [61] 1.46905053 0.91565318 0.52087913 0.62695154 2.92151305 1.69597849
## [67] 0.35141826 0.88166918 3.05296837 2.54865769 3.10479839 0.51999320
## [73] 0.22218969 1.49785539 1.20112717 1.30433274 1.02916843 3.07114186
## [79] 4.39019895 0.91138948 3.26698367 1.00873250 3.55985603 1.88006831
## [85] 2.15076045 1.08649052 1.40943072 1.44532306 1.37033758 0.65352535
## [91] 0.75661936 0.31599144 0.86961266 1.68434206 1.47899933 0.32081568
## [97] 3.33451144 0.74891081 6.16163329 0.62539524 0.73645473 2.73801595
## [103] 0.58839359 1.14539505 1.00080461 0.83730915 0.57600936 1.44872124
## [109] 1.49167674 3.11644997 1.74276001 0.39923464 1.31477786 0.70605030
## [115] 0.31744912 0.73628356 0.09054806 0.95796796 1.28925905 4.03214172
## [121] 3.62692722 1.50502055 1.42454391 1.57511459 0.85536495 0.44735146
## [127] 0.11611031 5.43755607 0.61872219 1.84186006 1.55476036 0.50457560
## [133] 4.20464310 1.97587417 1.47027327 0.49176864 5.05751231 1.96850944
## [139] 0.84925347 1.53881175 2.78930888 1.16835099 1.47836441 2.40109726
## [145] 0.24980684 1.39329597 0.16301496 4.34246895 2.72858716 1.24534886
## [151] 0.46229201 4.02721831 0.69951293 0.43400165 1.09063199 0.70108264
## [157] 2.48365910 2.90187273 1.11756491 0.13839997 0.84273648 0.43704727
## [163] 1.28518420 2.73476494 3.08988410 1.50571258 1.81949504 0.40027436
## [169] 1.50590927 1.51256729 1.02751937 0.40544601 3.23993806 0.28473347
## [175] 0.70320981 0.12081787 2.07056824 1.03617331 2.47223349 4.92823231
## [181] 1.88107675 3.30825448 1.47654245 2.48205275 4.50362891 3.27098693
## [187] 0.89309035 0.94521910 0.83626762 1.86233169 0.35713854 0.36440304
## [193] 2.71210796 1.24070028 1.38032466 0.47602170 0.30259193 0.08099801
## [199] 1.73494775 0.33506256 3.09947638 2.57546399 1.32163388 0.70867509
## [205] 1.25974874 0.62003939 1.97690928 6.31420020 3.32231016 0.37514224
## [211] 2.36660241 0.51639494 2.22391100 0.96950327 1.45413072 1.10231712
## [217] 0.79435301 0.77350375 0.55195307 1.20823852 0.83991876 3.35551184
## [223] 1.51025862 2.64729217 0.97791349 1.67520087 0.23918537 1.76260557
## [229] 1.52245169 0.49120725 1.28286396 1.25853742 4.00022662 0.29968453
## [235] 2.71443727 0.29482430 3.65674799 1.96978531 0.35080537 0.09122779
## [241] 1.32856773 1.06767592 3.89211742 1.31197302 1.75266054 1.80195005
## [247] 2.69039862 2.33037919 1.74718741 2.44864741 0.92053687 0.79137572
## [253] 1.76985384 0.79758337 1.79143826 0.37524047 0.58851223 4.67823066
## [259] 2.48541381 0.76715441 0.82712661 0.23921859 3.10124729 2.37592154
## [265] 1.50620709 0.27930658 0.72062503 3.32371316 0.78280630 0.23975750
## [271] 0.36360324 0.20593887 2.76261476 0.45154373 2.09334848 1.36102200
## [277] 0.20365627 0.19604349 2.43385136 3.00742748 0.30256780 2.44239772
## [283] 0.27340598 2.07026392 0.82765055 3.50209813 1.57375678 1.97061163
## [289] 0.53171027 4.80707176 1.35277357 1.46785707 1.09017227 1.80527303
## [295] 1.46530009 1.24060662 2.85190549 1.81403496 1.17830238 2.23799971
## [301] 0.04162374 1.05448000 3.33356181 1.36653463 3.09576127 0.60476742
## [307] 0.50938260 0.26588305 3.75640638 1.75348808 0.66790094 1.15101488
## [313] 3.17401556 0.89525084 1.24844718 2.07666854 0.25567555 0.68715193
## [319] 5.06032160 0.68911543 0.43584323 2.03299868 1.89469311 1.94396996
## [325] 1.11679793 1.23218022 1.85739951 2.29502920 1.12037896 0.82370212
## [331] 0.73002797 1.83382762 1.01324648 1.24305906 0.63924936 1.40960062
## [337] 1.84967733 0.55639694 0.49100946 5.66491748 1.93118225 0.56823197
## [343] 1.18167454 2.10803574 2.63318982 4.34186037 2.35710800 0.78489411
## [349] 3.76792691 1.14068942 1.02128682 0.09845991 2.66776141 1.15753352
## [355] 2.92108923 2.73666904 0.76061510 1.22401218 0.90997654 0.32083923
## [361] 1.21904697 0.86163324 0.84951487 3.88230875 2.13857830 2.91632556
## [367] 2.56888314 1.88503952 0.74198293 2.30307708 3.16365011 1.09935841
## [373] 0.08711529 3.56895431 0.72402857 1.58878360 0.86273176 0.93838049
## [379] 1.73712225 0.60618215 1.09781988 1.18378253 1.75703778 0.01482355
## [385] 1.87923124 0.23673552 1.02331334 1.48078952 0.75144062 4.62805917
## [391] 1.08756127 0.17199154 1.66936608 0.32890003 1.27905228 0.17080991
## [397] 3.61412728 2.32762110 3.86245083 3.29032280 2.36005707 2.55902492
## [403] 4.99254900 6.44326497 1.21358809 2.28377119 0.98952378 1.07441461
## [409] 0.51237619 1.77465133 0.17283818 0.89705525 2.19447055 0.13714917
## [415] 2.18848134 1.81496993 1.29039615 1.28194788 0.50092504 0.53783645
## [421] 1.68255592 1.64538606 4.67992557 1.17225131 6.89498652 0.63303836
## [427] 4.18832817 0.84791162 0.53302695 0.20493324 0.25947815 1.11909257
## [433] 1.04431062 1.22198008 1.98897667 0.24653524 1.60982962 2.04169101
## [439] 0.60355736 0.57406348 0.75072205 0.16820806 0.62372424 2.37007022
## [445] 6.10406651 1.52707722 0.04115168 1.07669124 2.14806522 0.12787333
## [451] 1.24746489 1.69942855 1.80170532 0.95858047 2.22616786 0.63133878
## [457] 1.75605755 1.08262080 2.57178351 2.61856452 1.17095311 1.62476683
## [463] 0.69460644 1.60893410 0.63398255 1.97698419 4.91139751 0.56631515
## [469] 1.27261532 0.78496292 1.95650524 0.82044280 0.12379492 0.23580421
## [475] 0.88464464 3.07263333 2.44082715 2.93643976 2.50386213 1.92969782
## [481] 0.74215072 2.04019420 1.31352316 0.80375090 0.57160037 1.75048867
## [487] 1.54217588 0.37021667 0.55527924 1.57648268 3.05116429 2.22282096
## [493] 1.16346001 2.73347122 3.33024072 1.49893250 4.11288316 2.32869186
## [499] 0.44625483 2.08655495 0.06550005 2.28666220 3.47769232 0.63530831
## [505] 4.96666404 5.26607685 0.54617464 1.62524093 2.10317778 1.86731639
## [511] 1.36116365 1.77915797 1.66679192 0.76594776 1.57865908 0.85226665
## [517] 1.82001693 2.56566232 0.59140478 1.28273258 1.70657684 3.40028329
## [523] 0.30476511 0.80210793 3.05446145 1.30244376 0.76653307 2.06392869
## [529] 0.77299469 2.22782447 4.77955877 1.43563457 2.99437018 0.56093856
## [535] 1.11134289 0.88079572 0.65666613 1.31822666 1.29196758 2.18807973
## [541] 1.64855246 0.93105641 0.67950398 0.52507709 1.76297366 1.45489146
## [547] 1.07298708 0.79711971 1.34896586 1.13772123 0.25041032 2.97014254
## [553] 3.67388159 2.83825331 1.71017413 0.33524076 0.81015931 0.89068848
## [559] 2.22197925 1.00190999 0.88927685 0.86797986 0.87993536 1.09367051
## [565] 4.63197550 1.14664876 0.03817199 1.72688950 3.59119818 5.32699786
## [571] 1.27543743 4.21825767 0.39902096 3.46735756 0.90872511 1.31387607
## [577] 0.94242898 2.61820997 0.60302759 1.51197169 3.44321704 2.05738737
## [583] 1.56895817 1.40566755 0.93962186 1.01195360 1.70512628 3.18115920
## [589] 1.86499829 4.66512324 0.76224545 0.96444870 1.39364600 2.43709341
## [595] 3.21478010 1.25096683 1.38317934 2.28168935 1.34443848 4.59914977
## [601] 1.28892565 0.97888336 2.92134181 5.66728070 0.51611512 1.83352419
## [607] 0.17832542 0.53532019 0.76840694 2.18449424 1.17648397 2.10623461
## [613] 0.13741401 2.84840304 0.73129157 2.28944925 2.96038296 0.51664932
## [619] 1.07242041 1.91601255 0.90072406 2.62092672 1.98225162 0.21223484
## [625] 1.89728587 1.06946767 2.97848829 2.82262311 0.91610097 0.28715769
## [631] 4.65052452 0.06375182 0.85404367 3.00254869 0.63169331 6.25483255
## [637] 1.38479404 0.84946788 2.03936143 3.33472122 1.76055771 0.37354850
## [643] 1.31460739 1.98373156 0.96448215 1.18042874 2.04253915 0.50502219
## [649] 2.11793877 6.68299855 0.38427255 0.13236729 1.65159270 0.77934210
## [655] 1.18514395 1.84948747 1.15101372 1.33607549 0.60743990 1.11379622
## [661] 1.29205276 0.40584956 2.07234445 3.90732707 2.17337166 0.78431280
## [667] 2.50339802 1.65836861 0.39747528 1.33673982 4.58570405 0.91468558
## [673] 1.88751576 0.81841212 2.79712987 0.74455915 0.98753728 0.28662035
## [679] 6.49346551 2.24829443 1.85986872 2.58417324 0.70165861 1.14032717
## [685] 2.37397728 3.36024733 0.74930314 1.06530092 1.14741521 1.76222559
## [691] 0.67551283 1.21644022 1.99827276 3.95491962 0.22442379 3.67189409
## [697] 0.50659386 1.74509922 2.17060050 0.05472933 6.96574070 0.44748697
## [703] 0.23267965 0.10063891 0.45731529 1.62209353 2.19118863 0.51240521
## [709] 0.23388499 1.79067090 1.06911874 0.98227009 1.83646075 1.25057089
## [715] 2.07132750 2.21653994 0.43716403 1.51029457 0.98428121 4.62158725
## [721] 0.79942202 0.45390154 0.85593871 0.95878095 3.88270115 0.34717772
## [727] 0.72463023 3.45992863 0.64219485 1.93035657 0.63229526 1.83240419
## [733] 2.71076518 1.22161198 0.12934854 2.32282888 1.57852245 1.37415604
## [739] 1.61296267 0.12399802 1.52984626 1.69515178 1.94831915 2.97121717
## [745] 0.88113919 1.63443248 1.49318604 6.33330470 0.46497185 1.29251365
## [751] 1.80729018 6.06164666 0.61198160 0.31387807 3.42461503 3.38556200
## [757] 0.84954627 2.02698652 4.00557110 1.94079095 1.54637451 0.42772342
## [763] 0.19089319 1.36686755 0.48131066 0.95209079 2.23911447 1.07282704
## [769] 0.23826641 0.57237466 2.38783569 6.22148802 2.31861025 0.31308854
## [775] 1.00176001 2.04274204 2.56818136 1.93566594 0.97024290 1.42233588
## [781] 2.05123771 0.96378396 3.19488947 0.87946731 1.65941468 0.96684324
## [787] 0.90249850 1.32358297 1.07577361 3.88117965 0.96476537 3.34118422
## [793] 1.53491017 1.57441151 3.00760536 2.92444761 2.40371864 2.31875397
## [799] 0.87672650 0.99298867 4.05765304 2.21705007 2.45855502 0.24970471
## [805] 1.74974805 1.06466453 0.35843634 0.46835452 1.05797839 1.32063070
## [811] 1.15238381 5.10237580 2.89334199 0.46050552 0.49812642 0.90101526
## [817] 0.51072406 5.34043825 1.40543636 2.03760701 0.53710537 2.80394924
## [823] 1.43416006 3.27436319 0.60976487 2.06052039 2.49143945 2.41122464
## [829] 0.79924975 1.44440531 0.58659846 1.71398098 0.47623481 1.69793438
## [835] 2.80921063 1.92273958 1.44657814 0.40470584 2.75924661 0.45202089
## [841] 7.01556139 2.39237013 0.84011347 0.85069531 0.05502779 0.92518635
## [847] 0.83791604 0.93181735 2.56080784 1.04596339 3.80435778 1.22068632
## [853] 1.34239102 0.50812839 0.59907116 0.32627113 0.22034698 4.92182190
## [859] 0.83341061 0.47070413 0.97342648 2.56135964 0.03693645 0.24706799
## [865] 2.68696443 0.15855565 0.62450405 0.52655108 0.34943840 0.83924900
## [871] 0.38222674 3.79574746 3.29686843 0.96522871 1.72887072 1.74648764
## [877] 0.56363978 5.35069906 1.69170159 2.72833356 0.46403051 1.23183800
## [883] 4.08138517 0.37037198 0.95824749 2.30406412 4.13666889 2.26794913
## [889] 0.93878610 1.91959530 1.97030967 1.21179000 0.29248904 1.78164706
## [895] 1.73410430 1.85753743 1.72434556 0.77453230 1.15893236 1.05517474
## [901] 0.53849641 3.96142976 3.29108898 1.25947827 2.65306610 0.85909680
## [907] 1.41522463 0.69582772 0.95401238 1.95250512 0.18597013 0.27906549
## [913] 0.56264916 1.80843087 2.34784904 1.25620608 0.62588062 2.52638602
## [919] 3.63500253 2.77317471 0.49187152 1.05509213 0.18356871 2.46023216
## [925] 0.22155644 1.20080398 1.38561638 0.82424152 1.27168088 0.74757797
## [931] 0.65285123 1.07137029 0.79055904 2.31307742 0.45733238 0.77318520
## [937] 0.24011037 4.52748204 0.33647473 0.60602191 2.14198810 1.42099635
## [943] 2.60072645 3.08491308 0.17098555 3.35671669 0.92277507 1.91452442
## [949] 2.91443498 2.97234685 0.28370060 1.78116667 0.27092960 1.57154610
## [955] 1.89013793 1.08660317 3.00789547 0.55215472 3.13012057 0.49239239
## [961] 1.06491524 0.60868690 2.05863249 1.12235255 1.25825071 2.32599147
## [967] 3.32922178 1.88952666 0.64144733 2.03721384 0.70623644 1.56314408
## [973] 0.19148970 2.51845930 1.35457555 0.60382662 0.47384278 1.83721001
## [979] 2.63175513 0.31329114 1.54629802 0.46887421 1.31807176 4.73861400
## [985] 0.36343903 0.47803416 0.72736485 1.64556202 0.37416901 5.15192623
## [991] 0.54556101 2.22768006 0.87102331 4.13876919 4.18573191 0.63739153
## [997] 0.69656543 3.59834843 1.74505516 1.20331288
#Uji Kecocokan Distribusi Gamma Secara Visual
hist(random_gamma, main="Histogram of gamma(1000,5/3,1)", col="red")
ks.test(random_gamma,"pgamma",shape = 5/3,scale = 1)
##
## One-sample Kolmogorov-Smirnov test
##
## data: random_gamma
## D = 0.010497, p-value = 0.9999
## alternative hypothesis: two-sided
#Fungsi Uji Kecocokan Model dengan KS Test
ks_test= function(x){
ks.test(x, "pgamma", shape = 5/3,scale = 1)
}
#Looping
ks_stats = function(x,N){
greater_than = 0
less_than = 0
for (i in 1:N){
sample_data = sample(x, size=1000, replace = TRUE)
p_value = ks_test(sample_data)$p.value
if (p_value>= 0.05){
greater_than = greater_than +1
} else {
less_than = less_than +1
}
}
cat("Banyaknya iterasi yang memenuhi kecocokan distribusi:", greater_than,"\n")
cat("Banyaknya iterasi yang tidak memenuhi kecocokan distribusi:", less_than,"\n")
}
#Uji Kecocokan Model dengan pengulangan sebanyak 1000 kali
#Pengujian untuk data bangkitan dengan Fungsi Bawaan R
ks_stats(distgamma, 1000)
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Banyaknya iterasi yang memenuhi kecocokan distribusi: 905
## Banyaknya iterasi yang tidak memenuhi kecocokan distribusi: 95
#Pengujian untuk data bangkitan dengan metode Acceptance Rejection
ks_stats(random_gamma, 1000)
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Warning in ks.test(x, "pgamma", shape = 5/3, scale = 1): ties should not be
## present for the Kolmogorov-Smirnov test
## Banyaknya iterasi yang memenuhi kecocokan distribusi: 923
## Banyaknya iterasi yang tidak memenuhi kecocokan distribusi: 77