R Markdown
reFi <- read.csv("https://raw.githubusercontent.com/samriti0202/R_Programming_Week2/master/datasets.csv")
############ Question 1 ###############
summary(reFi)
## Package Item
## Ecdat :130 lung : 3
## DAAG :121 aids : 2
## Stat2Data:119 channing: 2
## MASS : 87 Cigar : 2
## datasets : 84 cities : 2
## carData : 59 Clothing: 2
## (Other) :643 (Other) :1230
## Title
## Labour Training Evaluation Data : 11
## Seven data sets showing a bifactor solution. : 9
## Individual Preferences Over Immigration Policy : 6
## John Snow's Map and Data on the 1854 London Cholera Outbreak : 5
## Rain, wavesurge, portpirie and nidd datasets. : 4
## Australian and Related Historical Annual Climate Data, by region: 3
## (Other) :1205
## Rows Cols has_logical has_binary
## Min. : 0 Min. : 1.00 Mode :logical Mode :logical
## 1st Qu.: 30 1st Qu.: 3.00 FALSE:1233 FALSE:717
## Median : 90 Median : 5.00 TRUE :10 TRUE :526
## Mean : 1576 Mean : 15.46
## 3rd Qu.: 451 3rd Qu.: 9.00
## Max. :372864 Max. :6831.00
##
## has_numeric has_character
## Mode :logical Mode :logical
## FALSE:329 FALSE:1190
## TRUE :914 TRUE :53
##
##
##
##
## CSV
## https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/acme.csv : 1
## https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aids.csv : 1
## https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aircondit.csv : 1
## https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aircondit7.csv: 1
## https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/amis.csv : 1
## https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aml.csv : 1
## (Other) :1237
## Doc
## https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/boot/acme.html : 1
## https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/boot/aids.html : 1
## https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/boot/aircondit.html : 1
## https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/boot/aircondit7.html: 1
## https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/boot/amis.html : 1
## https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/boot/aml.html : 1
## (Other) :1237
#subsetting
subset_reFi <- reFi[,4:5]
calMean1 <- mean(subset_reFi[,1])
calMean1
## [1] 1575.697
calMedian1 <- median(subset_reFi[,2])
calMedian1
## [1] 5
#### Question 2 ###################
subset1 <- reFi[,1:4]
subset2 <- reFi[c(200:470),c(1:4)]
#### Question 3 ########
names(subset2)[1] <- "Package/Company Name"
names(subset2)[2] <- "Item"
names(subset2)[3] <- "Item Description"
#fix(subset2)
##### Question 4 ############
summary(subset2)
## Package/Company Name Item
## Ecdat :91 Orange : 2
## datasets:84 ability.cov: 1
## DAAG :61 Accident : 1
## drc :35 acidiq : 1
## boot : 0 Airline : 1
## carData : 0 airmiles : 1
## (Other) : 0 (Other) :264
## Item Description
## Labour Training Evaluation Data : 8
## Edgar Anderson's Iris Data : 2
## Germination of common chickweed (_Stellaria media_): 2
## Global Terrorism Database yearly summaries : 2
## Road Casualties in Great Britain 1969-84 : 2
## The Boston HMDA Data Set : 2
## (Other) :253
## Rows
## Min. : 4.0
## 1st Qu.: 33.5
## Median : 102.0
## Mean : 1000.8
## 3rd Qu.: 476.5
## Max. :26217.0
##
calMean <- mean(subset2[,4])
calMean
## [1] 1000.797
#1120.317
calMedian <- median(subset2[,4])
calMedian
## [1] 102
#62
############# Question 5 #############
#fix(subset2)
gsub("e","EEE", subset2$Item)
## [1] "lEEEafshapEEE" "lEEEafshapEEE17"
## [3] "lEEEaftEEEmp" "lEEEaftEEEmp.all"
## [5] "littEEErs" "Lottario"
## [7] "lung" "Manitoba.lakEEEs"
## [9] "mEEEaslEEEs" "mEEEdExpEEEnsEEEs"
## [11] "mifEEEm" "mignonEEEttEEE"
## [13] "milk" "modEEElcars"
## [15] "monica" "moths"
## [17] "nassCDS" "nasshEEEad"
## [19] "nihills" "nsw74dEEEmo"
## [21] "nsw74psid1" "nsw74psid3"
## [23] "nsw74psidA" "nswdEEEmo"
## [25] "nswpsid1" "oddbooks"
## [27] "orings" "ozonEEE"
## [29] "pair65" "possum"
## [31] "possumsitEEEs" "poxEEEtc"
## [33] "primatEEEs" "progrEEEssion"
## [35] "psid1" "psid2"
## [37] "psid3" "racEEEs2000"
## [39] "rainforEEEst" "rarEEEplants"
## [41] "ricEEE" "rockArt"
## [43] "rollEEEr" "sciEEEncEEE"
## [45] "sEEEEEEdratEEEs" "socsupport"
## [47] "softbacks" "sorption"
## [49] "SP500closEEE" "SP500W90"
## [51] "spam7" "stVincEEEnt"
## [53] "sugar" "tinting"
## [55] "tomato" "toycars"
## [57] "vincEEE111b" "vlt"
## [59] "wagEEEs1833" "whoops"
## [61] "worldREEEcords" "ability.cov"
## [63] "airmilEEEs" "AirPassEEEngEEErs"
## [65] "airquality" "anscombEEE"
## [67] "attEEEnu" "attitudEEE"
## [69] "austrEEEs" "BJsalEEEs"
## [71] "BOD" "cars"
## [73] "ChickWEEEight" "chickwts"
## [75] "co2" "CO2"
## [77] "crimtab" "discovEEEriEEEs"
## [79] "DNasEEE" "EEEsoph"
## [81] "EEEuro" "EuStockMarkEEEts"
## [83] "faithful" "FormaldEEEhydEEE"
## [85] "frEEEEEEny" "HairEyEEEColor"
## [87] "Harman23.cor" "Harman74.cor"
## [89] "IndomEEEth" "infEEErt"
## [91] "InsEEEctSprays" "iris"
## [93] "iris3" "islands"
## [95] "JohnsonJohnson" "LakEEEHuron"
## [97] "lh" "LifEEECyclEEESavings"
## [99] "Loblolly" "longlEEEy"
## [101] "lynx" "morlEEEy"
## [103] "mtcars" "nhtEEEmp"
## [105] "NilEEE" "nottEEEm"
## [107] "npk" "occupationalStatus"
## [109] "OrangEEE" "OrchardSprays"
## [111] "PlantGrowth" "prEEEcip"
## [113] "prEEEsidEEEnts" "prEEEssurEEE"
## [115] "Puromycin" "quakEEEs"
## [117] "randu" "rivEEErs"
## [119] "rock" "SEEEatbEEElts"
## [121] "slEEEEEEp" "stackloss"
## [123] "sunspot.month" "sunspot.yEEEar"
## [125] "sunspots" "swiss"
## [127] "ThEEEoph" "Titanic"
## [129] "ToothGrowth" "trEEEEEEring"
## [131] "trEEEEEEs" "UCBAdmissions"
## [133] "UKDrivEEErDEEEaths" "UKgas"
## [135] "USAccDEEEaths" "USArrEEEsts"
## [137] "USJudgEEERatings" "USPEEErsonalExpEEEnditurEEE"
## [139] "uspop" "VADEEEaths"
## [141] "volcano" "warpbrEEEaks"
## [143] "womEEEn" "WorldPhonEEEs"
## [145] "WWWusagEEE" "acidiq"
## [147] "algaEEE" "auxins"
## [149] "chickwEEEEEEd" "chickwEEEEEEd0"
## [151] "daphnids" "dEEEcontaminants"
## [153] "dEEEguEEElin" "EEEarthworms"
## [155] "EEEtmotc" "finnEEEy71"
## [157] "G.aparinEEE" "gEEErmination"
## [159] "glymEEEt" "H.virEEEscEEEns"
## [161] "hEEEartratEEE" "lEEEaflEEEngth"
## [163] "lEEEpidium" "lEEEttucEEE"
## [165] "M.bahia" "mEEEctEEEr"
## [167] "mEEEtals" "mEEEthioninEEE"
## [169] "nasturtium" "O.mykiss"
## [171] "P.promEEElas" "RScompEEEtition"
## [173] "ryEEEgrass" "S.alba"
## [175] "S.capricornutum" "sEEEcalonic"
## [177] "sEEElEEEnium" "spinach"
## [179] "tEEErbuthylazin" "vinclozolin"
## [181] "AccidEEEnt" "AirlinEEE"
## [183] "Airq" "bankingCrisEEEs"
## [185] "BEEEnEEEfits" "Bids"
## [187] "brEEEachEEEs" "BudgEEEtFood"
## [189] "BudgEEEtItaly" "BudgEEEtUK"
## [191] "BwagEEEs" "Capm"
## [193] "Car" "Caschool"
## [195] "Catsup" "Cigar"
## [197] "CigarEEEttEEE" "Clothing"
## [199] "ComputEEErs" "Consumption"
## [201] "CPSch3" "CrackEEEr"
## [203] "CRANpackagEEEs" "CrimEEE"
## [205] "CRSPday" "CRSPmon"
## [207] "Diamond" "DM"
## [209] "Doctor" "DoctorAUS"
## [211] "DoctorContacts" "Earnings"
## [213] "ElEEEctricity" "Fair"
## [215] "Fatality" "Fishing"
## [217] "Forward" "FriEEEndFoEEE"
## [219] "Garch" "GasolinEEE"
## [221] "GrilichEEEs" "GrunfEEEld"
## [223] "HC" "Hdma"
## [225] "HEEEating" "HEEEdonic"
## [227] "HHSCybEEErSEEEcurityBrEEEachEEEs" "HI"
## [229] "Hmda" "Housing"
## [231] "Hstarts" "IcEEEcrEEEam"
## [233] "incidEEEnts.byCountryYr" "incomEEEInEEEquality"
## [235] "IncomEEEUK" "IratEEEs"
## [237] "Journals" "Kakadu"
## [239] "KEEEtchup" "KlEEEin"
## [241] "LaborSupply" "Labour"
## [243] "LonglEEEy" "LT"
## [245] "Macrodat" "MalEEEs"
## [247] "ManufCost" "MathlEEEvEEEl"
## [249] "MCAS" "MEEEdExp"
## [251] "MEEEtal" "Mishkin"
## [253] "ModEEE" "ModEEEChoicEEE"
## [255] "Mofa" "MonEEEy"
## [257] "MonEEEyUS" "Mpyr"
## [259] "Mroz" "MunExp"
## [261] "MW" "NaturalPark"
## [263] "NEEErlovEEE" "nkill.byCountryYr"
## [265] "nonEnglishNamEEEs" "OFP"
## [267] "Oil" "OrangEEE"
## [269] "Participation" "PatEEEntsHGH"
## [271] "PatEEEntsRD"
gsub("a","AAA", subset2$Item)
## [1] "leAAAfshAAApe" "leAAAfshAAApe17"
## [3] "leAAAftemp" "leAAAftemp.AAAll"
## [5] "litters" "LottAAArio"
## [7] "lung" "MAAAnitobAAA.lAAAkes"
## [9] "meAAAsles" "medExpenses"
## [11] "mifem" "mignonette"
## [13] "milk" "modelcAAArs"
## [15] "monicAAA" "moths"
## [17] "nAAAssCDS" "nAAAssheAAAd"
## [19] "nihills" "nsw74demo"
## [21] "nsw74psid1" "nsw74psid3"
## [23] "nsw74psidA" "nswdemo"
## [25] "nswpsid1" "oddbooks"
## [27] "orings" "ozone"
## [29] "pAAAir65" "possum"
## [31] "possumsites" "poxetc"
## [33] "primAAAtes" "progression"
## [35] "psid1" "psid2"
## [37] "psid3" "rAAAces2000"
## [39] "rAAAinforest" "rAAAreplAAAnts"
## [41] "rice" "rockArt"
## [43] "roller" "science"
## [45] "seedrAAAtes" "socsupport"
## [47] "softbAAAcks" "sorption"
## [49] "SP500close" "SP500W90"
## [51] "spAAAm7" "stVincent"
## [53] "sugAAAr" "tinting"
## [55] "tomAAAto" "toycAAArs"
## [57] "vince111b" "vlt"
## [59] "wAAAges1833" "whoops"
## [61] "worldRecords" "AAAbility.cov"
## [63] "AAAirmiles" "AirPAAAssengers"
## [65] "AAAirquAAAlity" "AAAnscombe"
## [67] "AAAttenu" "AAAttitude"
## [69] "AAAustres" "BJsAAAles"
## [71] "BOD" "cAAArs"
## [73] "ChickWeight" "chickwts"
## [75] "co2" "CO2"
## [77] "crimtAAAb" "discoveries"
## [79] "DNAAAse" "esoph"
## [81] "euro" "EuStockMAAArkets"
## [83] "fAAAithful" "FormAAAldehyde"
## [85] "freeny" "HAAAirEyeColor"
## [87] "HAAArmAAAn23.cor" "HAAArmAAAn74.cor"
## [89] "Indometh" "infert"
## [91] "InsectSprAAAys" "iris"
## [93] "iris3" "islAAAnds"
## [95] "JohnsonJohnson" "LAAAkeHuron"
## [97] "lh" "LifeCycleSAAAvings"
## [99] "Loblolly" "longley"
## [101] "lynx" "morley"
## [103] "mtcAAArs" "nhtemp"
## [105] "Nile" "nottem"
## [107] "npk" "occupAAAtionAAAlStAAAtus"
## [109] "OrAAAnge" "OrchAAArdSprAAAys"
## [111] "PlAAAntGrowth" "precip"
## [113] "presidents" "pressure"
## [115] "Puromycin" "quAAAkes"
## [117] "rAAAndu" "rivers"
## [119] "rock" "SeAAAtbelts"
## [121] "sleep" "stAAAckloss"
## [123] "sunspot.month" "sunspot.yeAAAr"
## [125] "sunspots" "swiss"
## [127] "Theoph" "TitAAAnic"
## [129] "ToothGrowth" "treering"
## [131] "trees" "UCBAdmissions"
## [133] "UKDriverDeAAAths" "UKgAAAs"
## [135] "USAccDeAAAths" "USArrests"
## [137] "USJudgeRAAAtings" "USPersonAAAlExpenditure"
## [139] "uspop" "VADeAAAths"
## [141] "volcAAAno" "wAAArpbreAAAks"
## [143] "women" "WorldPhones"
## [145] "WWWusAAAge" "AAAcidiq"
## [147] "AAAlgAAAe" "AAAuxins"
## [149] "chickweed" "chickweed0"
## [151] "dAAAphnids" "decontAAAminAAAnts"
## [153] "deguelin" "eAAArthworms"
## [155] "etmotc" "finney71"
## [157] "G.AAApAAArine" "germinAAAtion"
## [159] "glymet" "H.virescens"
## [161] "heAAArtrAAAte" "leAAAflength"
## [163] "lepidium" "lettuce"
## [165] "M.bAAAhiAAA" "mecter"
## [167] "metAAAls" "methionine"
## [169] "nAAAsturtium" "O.mykiss"
## [171] "P.promelAAAs" "RScompetition"
## [173] "ryegrAAAss" "S.AAAlbAAA"
## [175] "S.cAAApricornutum" "secAAAlonic"
## [177] "selenium" "spinAAAch"
## [179] "terbuthylAAAzin" "vinclozolin"
## [181] "Accident" "Airline"
## [183] "Airq" "bAAAnkingCrises"
## [185] "Benefits" "Bids"
## [187] "breAAAches" "BudgetFood"
## [189] "BudgetItAAAly" "BudgetUK"
## [191] "BwAAAges" "CAAApm"
## [193] "CAAAr" "CAAAschool"
## [195] "CAAAtsup" "CigAAAr"
## [197] "CigAAArette" "Clothing"
## [199] "Computers" "Consumption"
## [201] "CPSch3" "CrAAAcker"
## [203] "CRANpAAAckAAAges" "Crime"
## [205] "CRSPdAAAy" "CRSPmon"
## [207] "DiAAAmond" "DM"
## [209] "Doctor" "DoctorAUS"
## [211] "DoctorContAAActs" "EAAArnings"
## [213] "Electricity" "FAAAir"
## [215] "FAAAtAAAlity" "Fishing"
## [217] "ForwAAArd" "FriendFoe"
## [219] "GAAArch" "GAAAsoline"
## [221] "Griliches" "Grunfeld"
## [223] "HC" "HdmAAA"
## [225] "HeAAAting" "Hedonic"
## [227] "HHSCyberSecurityBreAAAches" "HI"
## [229] "HmdAAA" "Housing"
## [231] "HstAAArts" "IcecreAAAm"
## [233] "incidents.byCountryYr" "incomeInequAAAlity"
## [235] "IncomeUK" "IrAAAtes"
## [237] "JournAAAls" "KAAAkAAAdu"
## [239] "Ketchup" "Klein"
## [241] "LAAAborSupply" "LAAAbour"
## [243] "Longley" "LT"
## [245] "MAAAcrodAAAt" "MAAAles"
## [247] "MAAAnufCost" "MAAAthlevel"
## [249] "MCAS" "MedExp"
## [251] "MetAAAl" "Mishkin"
## [253] "Mode" "ModeChoice"
## [255] "MofAAA" "Money"
## [257] "MoneyUS" "Mpyr"
## [259] "Mroz" "MunExp"
## [261] "MW" "NAAAturAAAlPAAArk"
## [263] "Nerlove" "nkill.byCountryYr"
## [265] "nonEnglishNAAAmes" "OFP"
## [267] "Oil" "OrAAAnge"
## [269] "PAAArticipAAAtion" "PAAAtentsHGH"
## [271] "PAAAtentsRD"
gsub("p","PPP",subset2$Item)
## [1] "leafshaPPPe" "leafshaPPPe17"
## [3] "leaftemPPP" "leaftemPPP.all"
## [5] "litters" "Lottario"
## [7] "lung" "Manitoba.lakes"
## [9] "measles" "medExPPPenses"
## [11] "mifem" "mignonette"
## [13] "milk" "modelcars"
## [15] "monica" "moths"
## [17] "nassCDS" "nasshead"
## [19] "nihills" "nsw74demo"
## [21] "nsw74PPPsid1" "nsw74PPPsid3"
## [23] "nsw74PPPsidA" "nswdemo"
## [25] "nswPPPsid1" "oddbooks"
## [27] "orings" "ozone"
## [29] "PPPair65" "PPPossum"
## [31] "PPPossumsites" "PPPoxetc"
## [33] "PPPrimates" "PPProgression"
## [35] "PPPsid1" "PPPsid2"
## [37] "PPPsid3" "races2000"
## [39] "rainforest" "rarePPPlants"
## [41] "rice" "rockArt"
## [43] "roller" "science"
## [45] "seedrates" "socsuPPPPPPort"
## [47] "softbacks" "sorPPPtion"
## [49] "SP500close" "SP500W90"
## [51] "sPPPam7" "stVincent"
## [53] "sugar" "tinting"
## [55] "tomato" "toycars"
## [57] "vince111b" "vlt"
## [59] "wages1833" "whooPPPs"
## [61] "worldRecords" "ability.cov"
## [63] "airmiles" "AirPassengers"
## [65] "airquality" "anscombe"
## [67] "attenu" "attitude"
## [69] "austres" "BJsales"
## [71] "BOD" "cars"
## [73] "ChickWeight" "chickwts"
## [75] "co2" "CO2"
## [77] "crimtab" "discoveries"
## [79] "DNase" "esoPPPh"
## [81] "euro" "EuStockMarkets"
## [83] "faithful" "Formaldehyde"
## [85] "freeny" "HairEyeColor"
## [87] "Harman23.cor" "Harman74.cor"
## [89] "Indometh" "infert"
## [91] "InsectSPPPrays" "iris"
## [93] "iris3" "islands"
## [95] "JohnsonJohnson" "LakeHuron"
## [97] "lh" "LifeCycleSavings"
## [99] "Loblolly" "longley"
## [101] "lynx" "morley"
## [103] "mtcars" "nhtemPPP"
## [105] "Nile" "nottem"
## [107] "nPPPk" "occuPPPationalStatus"
## [109] "Orange" "OrchardSPPPrays"
## [111] "PlantGrowth" "PPPreciPPP"
## [113] "PPPresidents" "PPPressure"
## [115] "Puromycin" "quakes"
## [117] "randu" "rivers"
## [119] "rock" "Seatbelts"
## [121] "sleePPP" "stackloss"
## [123] "sunsPPPot.month" "sunsPPPot.year"
## [125] "sunsPPPots" "swiss"
## [127] "TheoPPPh" "Titanic"
## [129] "ToothGrowth" "treering"
## [131] "trees" "UCBAdmissions"
## [133] "UKDriverDeaths" "UKgas"
## [135] "USAccDeaths" "USArrests"
## [137] "USJudgeRatings" "USPersonalExPPPenditure"
## [139] "usPPPoPPP" "VADeaths"
## [141] "volcano" "warPPPbreaks"
## [143] "women" "WorldPhones"
## [145] "WWWusage" "acidiq"
## [147] "algae" "auxins"
## [149] "chickweed" "chickweed0"
## [151] "daPPPhnids" "decontaminants"
## [153] "deguelin" "earthworms"
## [155] "etmotc" "finney71"
## [157] "G.aPPParine" "germination"
## [159] "glymet" "H.virescens"
## [161] "heartrate" "leaflength"
## [163] "lePPPidium" "lettuce"
## [165] "M.bahia" "mecter"
## [167] "metals" "methionine"
## [169] "nasturtium" "O.mykiss"
## [171] "P.PPPromelas" "RScomPPPetition"
## [173] "ryegrass" "S.alba"
## [175] "S.caPPPricornutum" "secalonic"
## [177] "selenium" "sPPPinach"
## [179] "terbuthylazin" "vinclozolin"
## [181] "Accident" "Airline"
## [183] "Airq" "bankingCrises"
## [185] "Benefits" "Bids"
## [187] "breaches" "BudgetFood"
## [189] "BudgetItaly" "BudgetUK"
## [191] "Bwages" "CaPPPm"
## [193] "Car" "Caschool"
## [195] "CatsuPPP" "Cigar"
## [197] "Cigarette" "Clothing"
## [199] "ComPPPuters" "ConsumPPPtion"
## [201] "CPSch3" "Cracker"
## [203] "CRANPPPackages" "Crime"
## [205] "CRSPday" "CRSPmon"
## [207] "Diamond" "DM"
## [209] "Doctor" "DoctorAUS"
## [211] "DoctorContacts" "Earnings"
## [213] "Electricity" "Fair"
## [215] "Fatality" "Fishing"
## [217] "Forward" "FriendFoe"
## [219] "Garch" "Gasoline"
## [221] "Griliches" "Grunfeld"
## [223] "HC" "Hdma"
## [225] "Heating" "Hedonic"
## [227] "HHSCyberSecurityBreaches" "HI"
## [229] "Hmda" "Housing"
## [231] "Hstarts" "Icecream"
## [233] "incidents.byCountryYr" "incomeInequality"
## [235] "IncomeUK" "Irates"
## [237] "Journals" "Kakadu"
## [239] "KetchuPPP" "Klein"
## [241] "LaborSuPPPPPPly" "Labour"
## [243] "Longley" "LT"
## [245] "Macrodat" "Males"
## [247] "ManufCost" "Mathlevel"
## [249] "MCAS" "MedExPPP"
## [251] "Metal" "Mishkin"
## [253] "Mode" "ModeChoice"
## [255] "Mofa" "Money"
## [257] "MoneyUS" "MPPPyr"
## [259] "Mroz" "MunExPPP"
## [261] "MW" "NaturalPark"
## [263] "Nerlove" "nkill.byCountryYr"
## [265] "nonEnglishNames" "OFP"
## [267] "Oil" "Orange"
## [269] "ParticiPPPation" "PatentsHGH"
## [271] "PatentsRD"
#### Question 7 ##########
readFromGitHub <- read.csv("https://raw.githubusercontent.com/samriti0202/R_Programming_Week2/master/datasets.csv")
readFromGitHub
## Package Item
## 1 boot acme
## 2 boot aids
## 3 boot aircondit
## 4 boot aircondit7
## 5 boot amis
## 6 boot aml
## 7 boot beaver
## 8 boot bigcity
## 9 boot brambles
## 10 boot breslow
## 11 boot calcium
## 12 boot cane
## 13 boot capability
## 14 boot catsM
## 15 boot cav
## 16 boot cd4
## 17 boot cd4.nested
## 18 boot channing
## 19 boot city
## 20 boot claridge
## 21 boot cloth
## 22 boot co.transfer
## 23 boot coal
## 24 boot darwin
## 25 boot dogs
## 26 boot downs.bc
## 27 boot ducks
## 28 boot fir
## 29 boot frets
## 30 boot grav
## 31 boot gravity
## 32 boot hirose
## 33 boot islay
## 34 boot manaus
## 35 boot melanoma
## 36 boot motor
## 37 boot neuro
## 38 boot nitrofen
## 39 boot nodal
## 40 boot nuclear
## 41 boot paulsen
## 42 boot poisons
## 43 boot polar
## 44 boot remission
## 45 boot salinity
## 46 boot survival
## 47 boot tau
## 48 boot tuna
## 49 boot urine
## 50 boot wool
## 51 carData Adler
## 52 carData AMSsurvey
## 53 carData Angell
## 54 carData Anscombe
## 55 carData Arrests
## 56 carData Baumann
## 57 carData BEPS
## 58 carData Bfox
## 59 carData Blackmore
## 60 carData Burt
## 61 carData CanPop
## 62 carData Chile
## 63 carData Chirot
## 64 carData Cowles
## 65 carData Davis
## 66 carData DavisThin
## 67 carData Depredations
## 68 carData Duncan
## 69 carData Ericksen
## 70 carData Florida
## 71 carData Freedman
## 72 carData Friendly
## 73 carData Ginzberg
## 74 carData Greene
## 75 carData GSSvocab
## 76 carData Guyer
## 77 carData Hartnagel
## 78 carData Highway1
## 79 carData KosteckiDillon
## 80 carData Leinhardt
## 81 carData LoBD
## 82 carData Mandel
## 83 carData Migration
## 84 carData Moore
## 85 carData MplsDemo
## 86 carData MplsStops
## 87 carData Mroz
## 88 carData OBrienKaiser
## 89 carData Ornstein
## 90 carData Pottery
## 91 carData Prestige
## 92 carData Quartet
## 93 carData Robey
## 94 carData Sahlins
## 95 carData Salaries
## 96 carData SLID
## 97 carData Soils
## 98 carData States
## 99 carData TitanicSurvival
## 100 carData Transact
## 101 carData UN
## 102 carData USPop
## 103 carData Vocab
## 104 carData WeightLoss
## 105 carData Wells
## 106 carData Womenlf
## 107 carData Wong
## 108 carData Wool
## 109 carData WVS
## 110 cluster agriculture
## 111 cluster animals
## 112 cluster chorSub
## 113 cluster flower
## 114 cluster plantTraits
## 115 cluster pluton
## 116 cluster ruspini
## 117 cluster votes.repub
## 118 cluster xclara
## 119 COUNT affairs
## 120 COUNT azcabgptca
## 121 COUNT azdrg112
## 122 COUNT azpro
## 123 COUNT azprocedure
## 124 COUNT badhealth
## 125 COUNT fasttrakg
## 126 COUNT fishing
## 127 COUNT lbw
## 128 COUNT lbwgrp
## 129 COUNT loomis
## 130 COUNT mdvis
## 131 COUNT medpar
## 132 COUNT nuts
## 133 COUNT rwm
## 134 COUNT rwm1984
## 135 COUNT rwm5yr
## 136 COUNT ships
## 137 COUNT smoking
## 138 COUNT titanic
## 139 COUNT titanicgrp
## 140 DAAG ACF1
## 141 DAAG ais
## 142 DAAG allbacks
## 143 DAAG anesthetic
## 144 DAAG ant111b
## 145 DAAG antigua
## 146 DAAG appletaste
## 147 DAAG aulatlong
## 148 DAAG austpop
## 149 DAAG biomass
## 150 DAAG bomregions
## 151 DAAG bomregions2011
## 152 DAAG bomregions2012
## 153 DAAG bomsoi
## 154 DAAG bomsoi2001
## 155 DAAG bostonc
## 156 DAAG carprice
## 157 DAAG Cars93.summary
## 158 DAAG cerealsugar
## 159 DAAG cfseal
## 160 DAAG cities
## 161 DAAG codling
## 162 DAAG cottonworkers
## 163 DAAG cps1
## 164 DAAG cps2
## 165 DAAG cps3
## 166 DAAG cricketer
## 167 DAAG cuckoohosts
## 168 DAAG cuckoos
## 169 DAAG dengue
## 170 DAAG dewpoint
## 171 DAAG droughts
## 172 DAAG edcCO2
## 173 DAAG edcT
## 174 DAAG elastic1
## 175 DAAG elastic2
## 176 DAAG elasticband
## 177 DAAG fossilfuel
## 178 DAAG fossum
## 179 DAAG frogs
## 180 DAAG frostedflakes
## 181 DAAG fruitohms
## 182 DAAG gaba
## 183 DAAG geophones
## 184 DAAG greatLakes
## 185 DAAG grog
## 186 DAAG head.injury
## 187 DAAG headInjury
## 188 DAAG hills
## 189 DAAG hills2000
## 190 DAAG hotspots
## 191 DAAG hotspots2006
## 192 DAAG houseprices
## 193 DAAG humanpower1
## 194 DAAG humanpower2
## 195 DAAG hurricNamed
## 196 DAAG intersalt
## 197 DAAG ironslag
## 198 DAAG jobs
## 199 DAAG kiwishade
## 200 DAAG leafshape
## 201 DAAG leafshape17
## 202 DAAG leaftemp
## 203 DAAG leaftemp.all
## 204 DAAG litters
## 205 DAAG Lottario
## 206 DAAG lung
## 207 DAAG Manitoba.lakes
## 208 DAAG measles
## 209 DAAG medExpenses
## 210 DAAG mifem
## 211 DAAG mignonette
## 212 DAAG milk
## 213 DAAG modelcars
## 214 DAAG monica
## 215 DAAG moths
## 216 DAAG nassCDS
## 217 DAAG nasshead
## 218 DAAG nihills
## 219 DAAG nsw74demo
## 220 DAAG nsw74psid1
## 221 DAAG nsw74psid3
## 222 DAAG nsw74psidA
## 223 DAAG nswdemo
## 224 DAAG nswpsid1
## 225 DAAG oddbooks
## 226 DAAG orings
## 227 DAAG ozone
## 228 DAAG pair65
## 229 DAAG possum
## 230 DAAG possumsites
## 231 DAAG poxetc
## 232 DAAG primates
## 233 DAAG progression
## 234 DAAG psid1
## 235 DAAG psid2
## 236 DAAG psid3
## 237 DAAG races2000
## 238 DAAG rainforest
## 239 DAAG rareplants
## 240 DAAG rice
## 241 DAAG rockArt
## 242 DAAG roller
## 243 DAAG science
## 244 DAAG seedrates
## 245 DAAG socsupport
## 246 DAAG softbacks
## 247 DAAG sorption
## 248 DAAG SP500close
## 249 DAAG SP500W90
## 250 DAAG spam7
## 251 DAAG stVincent
## 252 DAAG sugar
## 253 DAAG tinting
## 254 DAAG tomato
## 255 DAAG toycars
## 256 DAAG vince111b
## 257 DAAG vlt
## 258 DAAG wages1833
## 259 DAAG whoops
## 260 DAAG worldRecords
## 261 datasets ability.cov
## 262 datasets airmiles
## 263 datasets AirPassengers
## 264 datasets airquality
## 265 datasets anscombe
## 266 datasets attenu
## 267 datasets attitude
## 268 datasets austres
## 269 datasets BJsales
## 270 datasets BOD
## 271 datasets cars
## 272 datasets ChickWeight
## 273 datasets chickwts
## 274 datasets co2
## 275 datasets CO2
## 276 datasets crimtab
## 277 datasets discoveries
## 278 datasets DNase
## 279 datasets esoph
## 280 datasets euro
## 281 datasets EuStockMarkets
## 282 datasets faithful
## 283 datasets Formaldehyde
## 284 datasets freeny
## 285 datasets HairEyeColor
## 286 datasets Harman23.cor
## 287 datasets Harman74.cor
## 288 datasets Indometh
## 289 datasets infert
## 290 datasets InsectSprays
## 291 datasets iris
## 292 datasets iris3
## 293 datasets islands
## 294 datasets JohnsonJohnson
## 295 datasets LakeHuron
## 296 datasets lh
## 297 datasets LifeCycleSavings
## 298 datasets Loblolly
## 299 datasets longley
## 300 datasets lynx
## 301 datasets morley
## 302 datasets mtcars
## 303 datasets nhtemp
## 304 datasets Nile
## 305 datasets nottem
## 306 datasets npk
## 307 datasets occupationalStatus
## 308 datasets Orange
## 309 datasets OrchardSprays
## 310 datasets PlantGrowth
## 311 datasets precip
## 312 datasets presidents
## 313 datasets pressure
## 314 datasets Puromycin
## 315 datasets quakes
## 316 datasets randu
## 317 datasets rivers
## 318 datasets rock
## 319 datasets Seatbelts
## 320 datasets sleep
## 321 datasets stackloss
## 322 datasets sunspot.month
## 323 datasets sunspot.year
## 324 datasets sunspots
## 325 datasets swiss
## 326 datasets Theoph
## 327 datasets Titanic
## 328 datasets ToothGrowth
## 329 datasets treering
## 330 datasets trees
## 331 datasets UCBAdmissions
## 332 datasets UKDriverDeaths
## 333 datasets UKgas
## 334 datasets USAccDeaths
## 335 datasets USArrests
## 336 datasets USJudgeRatings
## 337 datasets USPersonalExpenditure
## 338 datasets uspop
## 339 datasets VADeaths
## 340 datasets volcano
## 341 datasets warpbreaks
## 342 datasets women
## 343 datasets WorldPhones
## 344 datasets WWWusage
## 345 drc acidiq
## 346 drc algae
## 347 drc auxins
## 348 drc chickweed
## 349 drc chickweed0
## 350 drc daphnids
## 351 drc decontaminants
## 352 drc deguelin
## 353 drc earthworms
## 354 drc etmotc
## 355 drc finney71
## 356 drc G.aparine
## 357 drc germination
## 358 drc glymet
## 359 drc H.virescens
## 360 drc heartrate
## 361 drc leaflength
## 362 drc lepidium
## 363 drc lettuce
## 364 drc M.bahia
## 365 drc mecter
## 366 drc metals
## 367 drc methionine
## 368 drc nasturtium
## 369 drc O.mykiss
## 370 drc P.promelas
## 371 drc RScompetition
## 372 drc ryegrass
## 373 drc S.alba
## 374 drc S.capricornutum
## 375 drc secalonic
## 376 drc selenium
## 377 drc spinach
## 378 drc terbuthylazin
## 379 drc vinclozolin
## 380 Ecdat Accident
## 381 Ecdat Airline
## 382 Ecdat Airq
## 383 Ecdat bankingCrises
## 384 Ecdat Benefits
## 385 Ecdat Bids
## 386 Ecdat breaches
## 387 Ecdat BudgetFood
## 388 Ecdat BudgetItaly
## 389 Ecdat BudgetUK
## 390 Ecdat Bwages
## 391 Ecdat Capm
## 392 Ecdat Car
## 393 Ecdat Caschool
## 394 Ecdat Catsup
## 395 Ecdat Cigar
## 396 Ecdat Cigarette
## 397 Ecdat Clothing
## 398 Ecdat Computers
## 399 Ecdat Consumption
## 400 Ecdat CPSch3
## 401 Ecdat Cracker
## 402 Ecdat CRANpackages
## 403 Ecdat Crime
## 404 Ecdat CRSPday
## 405 Ecdat CRSPmon
## 406 Ecdat Diamond
## 407 Ecdat DM
## 408 Ecdat Doctor
## 409 Ecdat DoctorAUS
## 410 Ecdat DoctorContacts
## 411 Ecdat Earnings
## 412 Ecdat Electricity
## 413 Ecdat Fair
## 414 Ecdat Fatality
## 415 Ecdat Fishing
## 416 Ecdat Forward
## 417 Ecdat FriendFoe
## 418 Ecdat Garch
## 419 Ecdat Gasoline
## 420 Ecdat Griliches
## 421 Ecdat Grunfeld
## 422 Ecdat HC
## 423 Ecdat Hdma
## 424 Ecdat Heating
## 425 Ecdat Hedonic
## 426 Ecdat HHSCyberSecurityBreaches
## 427 Ecdat HI
## 428 Ecdat Hmda
## 429 Ecdat Housing
## 430 Ecdat Hstarts
## 431 Ecdat Icecream
## 432 Ecdat incidents.byCountryYr
## 433 Ecdat incomeInequality
## 434 Ecdat IncomeUK
## 435 Ecdat Irates
## 436 Ecdat Journals
## 437 Ecdat Kakadu
## 438 Ecdat Ketchup
## 439 Ecdat Klein
## 440 Ecdat LaborSupply
## 441 Ecdat Labour
## 442 Ecdat Longley
## 443 Ecdat LT
## 444 Ecdat Macrodat
## 445 Ecdat Males
## 446 Ecdat ManufCost
## 447 Ecdat Mathlevel
## 448 Ecdat MCAS
## 449 Ecdat MedExp
## 450 Ecdat Metal
## 451 Ecdat Mishkin
## 452 Ecdat Mode
## 453 Ecdat ModeChoice
## 454 Ecdat Mofa
## 455 Ecdat Money
## 456 Ecdat MoneyUS
## 457 Ecdat Mpyr
## 458 Ecdat Mroz
## 459 Ecdat MunExp
## 460 Ecdat MW
## 461 Ecdat NaturalPark
## 462 Ecdat Nerlove
## 463 Ecdat nkill.byCountryYr
## 464 Ecdat nonEnglishNames
## 465 Ecdat OFP
## 466 Ecdat Oil
## 467 Ecdat Orange
## 468 Ecdat Participation
## 469 Ecdat PatentsHGH
## 470 Ecdat PatentsRD
## 471 Ecdat PE
## 472 Ecdat politicalKnowledge
## 473 Ecdat Pound
## 474 Ecdat PPP
## 475 Ecdat Pricing
## 476 Ecdat Produc
## 477 Ecdat PSID
## 478 Ecdat RetSchool
## 479 Ecdat Schooling
## 480 Ecdat Solow
## 481 Ecdat Somerville
## 482 Ecdat SP500
## 483 Ecdat Star
## 484 Ecdat Strike
## 485 Ecdat StrikeDur
## 486 Ecdat StrikeNb
## 487 Ecdat SumHes
## 488 Ecdat Tbrate
## 489 Ecdat terrorism
## 490 Ecdat Tobacco
## 491 Ecdat Train
## 492 Ecdat TranspEq
## 493 Ecdat Treatment
## 494 Ecdat Tuna
## 495 Ecdat UnempDur
## 496 Ecdat Unemployment
## 497 Ecdat University
## 498 Ecdat USclassifiedDocuments
## 499 Ecdat USFinanceIndustry
## 500 Ecdat USGDPpresidents
## 501 Ecdat USstateAbbreviations
## 502 Ecdat UStaxWords
## 503 Ecdat VietNamH
## 504 Ecdat VietNamI
## 505 Ecdat Wages
## 506 Ecdat Wages1
## 507 Ecdat Workinghours
## 508 Ecdat Yen
## 509 Ecdat Yogurt
## 510 evir bmw
## 511 evir danish
## 512 evir nidd.annual
## 513 evir nidd.thresh
## 514 evir siemens
## 515 evir sp.raw
## 516 evir spto87
## 517 forecast gas
## 518 forecast gold
## 519 forecast taylor
## 520 forecast wineind
## 521 forecast woolyrnq
## 522 fpp2 a10
## 523 fpp2 arrivals
## 524 fpp2 ausair
## 525 fpp2 ausbeer
## 526 fpp2 auscafe
## 527 fpp2 austa
## 528 fpp2 austourists
## 529 fpp2 calls
## 530 fpp2 debitcards
## 531 fpp2 departures
## 532 fpp2 elecdaily
## 533 fpp2 elecdemand
## 534 fpp2 elecequip
## 535 fpp2 elecsales
## 536 fpp2 euretail
## 537 fpp2 gasoline
## 538 fpp2 goog
## 539 fpp2 goog200
## 540 fpp2 guinearice
## 541 fpp2 h02
## 542 fpp2 hyndsight
## 543 fpp2 insurance
## 544 fpp2 livestock
## 545 fpp2 marathon
## 546 fpp2 maxtemp
## 547 fpp2 melsyd
## 548 fpp2 mens400
## 549 fpp2 oil
## 550 fpp2 prison
## 551 fpp2 prisonLF
## 552 fpp2 qauselec
## 553 fpp2 qcement
## 554 fpp2 qgas
## 555 fpp2 sunspotarea
## 556 fpp2 uschange
## 557 fpp2 usmelec
## 558 fpp2 visnights
## 559 fpp2 wmurders
## 560 gamclass airAccs
## 561 gamclass bronchitis
## 562 gamclass cvalues
## 563 gamclass FARS
## 564 gamclass fars2007
## 565 gamclass fars2008
## 566 gamclass FARSmiss
## 567 gamclass german
## 568 gamclass loti
## 569 gap aldh2
## 570 gap apoeapoc
## 571 gap cf
## 572 gap crohn
## 573 gap fa
## 574 gap fsnps
## 575 gap hla
## 576 gap l51
## 577 gap lukas
## 578 gap mao
## 579 gap meyer
## 580 gap mfblong
## 581 gap nep499
## 582 gap PD
## 583 geepack dietox
## 584 geepack koch
## 585 geepack ohio
## 586 geepack respdis
## 587 geepack respiratory
## 588 geepack seizure
## 589 geepack sitka89
## 590 geepack spruce
## 591 ggplot2 diamonds
## 592 ggplot2 economics
## 593 ggplot2 economics_long
## 594 ggplot2 faithfuld
## 595 ggplot2 luv_colours
## 596 ggplot2 midwest
## 597 ggplot2 mpg
## 598 ggplot2 msleep
## 599 ggplot2 presidential
## 600 ggplot2 seals
## 601 ggplot2 txhousing
## 602 HistData Arbuthnot
## 603 HistData Armada
## 604 HistData Bowley
## 605 HistData Cavendish
## 606 HistData ChestSizes
## 607 HistData Cholera
## 608 HistData CushnyPeebles
## 609 HistData CushnyPeeblesN
## 610 HistData Dactyl
## 611 HistData DrinksWages
## 612 HistData Fingerprints
## 613 HistData Galton
## 614 HistData GaltonFamilies
## 615 HistData Guerry
## 616 HistData HalleyLifeTable
## 617 HistData Jevons
## 618 HistData Langren.all
## 619 HistData Langren1644
## 620 HistData Macdonell
## 621 HistData MacdonellDF
## 622 HistData Michelson
## 623 HistData MichelsonSets
## 624 HistData Minard.cities
## 625 HistData Minard.temp
## 626 HistData Minard.troops
## 627 HistData Nightingale
## 628 HistData OldMaps
## 629 HistData PearsonLee
## 630 HistData PolioTrials
## 631 HistData Prostitutes
## 632 HistData Pyx
## 633 HistData Quarrels
## 634 HistData Snow.dates
## 635 HistData Snow.deaths
## 636 HistData Snow.deaths2
## 637 HistData Snow.pumps
## 638 HistData Snow.streets
## 639 HistData Virginis
## 640 HistData Virginis.interp
## 641 HistData Wheat
## 642 HistData Wheat.monarchs
## 643 HistData Yeast
## 644 HistData YeastD.mat
## 645 HistData ZeaMays
## 646 HSAUR agefat
## 647 HSAUR aspirin
## 648 HSAUR BCG
## 649 HSAUR birthdeathrates
## 650 HSAUR bladdercancer
## 651 HSAUR BtheB
## 652 HSAUR clouds
## 653 HSAUR CYGOB1
## 654 HSAUR epilepsy
## 655 HSAUR Forbes2000
## 656 HSAUR foster
## 657 HSAUR GHQ
## 658 HSAUR heptathlon
## 659 HSAUR Lanza
## 660 HSAUR mastectomy
## 661 HSAUR meteo
## 662 HSAUR orallesions
## 663 HSAUR phosphate
## 664 HSAUR pistonrings
## 665 HSAUR planets
## 666 HSAUR plasma
## 667 HSAUR polyps
## 668 HSAUR polyps3
## 669 HSAUR pottery
## 670 HSAUR rearrests
## 671 HSAUR respiratory
## 672 HSAUR roomwidth
## 673 HSAUR schizophrenia
## 674 HSAUR schizophrenia2
## 675 HSAUR schooldays
## 676 HSAUR skulls
## 677 HSAUR smoking
## 678 HSAUR students
## 679 HSAUR suicides
## 680 HSAUR toothpaste
## 681 HSAUR voting
## 682 HSAUR water
## 683 HSAUR watervoles
## 684 HSAUR waves
## 685 HSAUR weightgain
## 686 HSAUR womensrole
## 687 hwde IndianIrish
## 688 hwde mendelABC
## 689 ISLR Auto
## 690 ISLR Caravan
## 691 ISLR Carseats
## 692 ISLR College
## 693 ISLR Credit
## 694 ISLR Default
## 695 ISLR Hitters
## 696 ISLR NCI60
## 697 ISLR OJ
## 698 ISLR Portfolio
## 699 ISLR Smarket
## 700 ISLR Wage
## 701 ISLR Weekly
## 702 KMsurv aids
## 703 KMsurv alloauto
## 704 KMsurv allograft
## 705 KMsurv azt
## 706 KMsurv baboon
## 707 KMsurv bcdeter
## 708 KMsurv bfeed
## 709 KMsurv bmt
## 710 KMsurv bnct
## 711 KMsurv btrial
## 712 KMsurv burn
## 713 KMsurv channing
## 714 KMsurv drug6mp
## 715 KMsurv drughiv
## 716 KMsurv hodg
## 717 KMsurv kidney
## 718 KMsurv kidrecurr
## 719 KMsurv kidtran
## 720 KMsurv larynx
## 721 KMsurv lung
## 722 KMsurv pneumon
## 723 KMsurv psych
## 724 KMsurv rats
## 725 KMsurv std
## 726 KMsurv stddiag
## 727 KMsurv tongue
## 728 KMsurv twins
## 729 lattice barley
## 730 lattice environmental
## 731 lattice ethanol
## 732 lattice melanoma
## 733 lattice singer
## 734 lattice USMortality
## 735 lattice USRegionalMortality
## 736 lme4 Arabidopsis
## 737 lme4 cake
## 738 lme4 cbpp
## 739 lme4 Dyestuff
## 740 lme4 Dyestuff2
## 741 lme4 grouseticks
## 742 lme4 InstEval
## 743 lme4 Pastes
## 744 lme4 Penicillin
## 745 lme4 sleepstudy
## 746 lme4 VerbAgg
## 747 lmec UTIdata
## 748 MASS abbey
## 749 MASS accdeaths
## 750 MASS Aids2
## 751 MASS Animals
## 752 MASS anorexia
## 753 MASS bacteria
## 754 MASS beav1
## 755 MASS beav2
## 756 MASS biopsy
## 757 MASS birthwt
## 758 MASS Boston
## 759 MASS cabbages
## 760 MASS caith
## 761 MASS Cars93
## 762 MASS cats
## 763 MASS cement
## 764 MASS chem
## 765 MASS coop
## 766 MASS cpus
## 767 MASS crabs
## 768 MASS Cushings
## 769 MASS DDT
## 770 MASS deaths
## 771 MASS drivers
## 772 MASS eagles
## 773 MASS epil
## 774 MASS farms
## 775 MASS fgl
## 776 MASS forbes
## 777 MASS GAGurine
## 778 MASS galaxies
## 779 MASS gehan
## 780 MASS genotype
## 781 MASS geyser
## 782 MASS gilgais
## 783 MASS hills
## 784 MASS housing
## 785 MASS immer
## 786 MASS Insurance
## 787 MASS leuk
## 788 MASS mammals
## 789 MASS mcycle
## 790 MASS Melanoma
## 791 MASS menarche
## 792 MASS michelson
## 793 MASS minn38
## 794 MASS motors
## 795 MASS muscle
## 796 MASS newcomb
## 797 MASS nlschools
## 798 MASS npk
## 799 MASS npr1
## 800 MASS oats
## 801 MASS OME
## 802 MASS painters
## 803 MASS petrol
## 804 MASS phones
## 805 MASS Pima.te
## 806 MASS Pima.tr
## 807 MASS Pima.tr2
## 808 MASS quine
## 809 MASS Rabbit
## 810 MASS road
## 811 MASS rotifer
## 812 MASS Rubber
## 813 MASS ships
## 814 MASS shoes
## 815 MASS shrimp
## 816 MASS shuttle
## 817 MASS Sitka
## 818 MASS Sitka89
## 819 MASS Skye
## 820 MASS snails
## 821 MASS SP500
## 822 MASS steam
## 823 MASS stormer
## 824 MASS survey
## 825 MASS synth.te
## 826 MASS synth.tr
## 827 MASS topo
## 828 MASS Traffic
## 829 MASS UScereal
## 830 MASS UScrime
## 831 MASS VA
## 832 MASS waders
## 833 MASS whiteside
## 834 MASS wtloss
## 835 mediation boundsdata
## 836 mediation CEDdata
## 837 mediation framing
## 838 mediation jobs
## 839 mediation school
## 840 mediation student
## 841 mi CHAIN
## 842 mi nlsyV
## 843 mosaicData Alcohol
## 844 mosaicData Birthdays
## 845 mosaicData Births
## 846 mosaicData Births2015
## 847 mosaicData Births78
## 848 mosaicData Cards
## 849 mosaicData CoolingWater
## 850 mosaicData Countries
## 851 mosaicData CPS85
## 852 mosaicData Dimes
## 853 mosaicData Galton
## 854 mosaicData Gestation
## 855 mosaicData GoosePermits
## 856 mosaicData HeatX
## 857 mosaicData HELPfull
## 858 mosaicData HELPmiss
## 859 mosaicData HELPrct
## 860 mosaicData KidsFeet
## 861 mosaicData Marriage
## 862 mosaicData Mites
## 863 mosaicData RailTrail
## 864 mosaicData Riders
## 865 mosaicData SaratogaHouses
## 866 mosaicData SAT
## 867 mosaicData SnowGR
## 868 mosaicData SwimRecords
## 869 mosaicData TenMileRace
## 870 mosaicData Utilities
## 871 mosaicData Utilities2
## 872 mosaicData Weather
## 873 mosaicData Whickham
## 874 multgee arthritis
## 875 multgee housing
## 876 plm Cigar
## 877 plm Crime
## 878 plm EmplUK
## 879 plm Gasoline
## 880 plm Grunfeld
## 881 plm Hedonic
## 882 plm LaborSupply
## 883 plm Males
## 884 plm Parity
## 885 plm Produc
## 886 plm RiceFarms
## 887 plm Snmesp
## 888 plm SumHes
## 889 plm Wages
## 890 plyr baseball
## 891 plyr ozone
## 892 pscl absentee
## 893 pscl admit
## 894 pscl AustralianElectionPolling
## 895 pscl AustralianElections
## 896 pscl bioChemists
## 897 pscl ca2006
## 898 pscl EfronMorris
## 899 pscl iraqVote
## 900 pscl partycodes
## 901 pscl politicalInformation
## 902 pscl presidentialElections
## 903 pscl prussian
## 904 pscl RockTheVote
## 905 pscl state.info
## 906 pscl UKHouseOfCommons
## 907 pscl unionDensity
## 908 pscl vote92
## 909 psych ability
## 910 psych affect
## 911 psych Bechtoldt
## 912 psych Bechtoldt.1
## 913 psych Bechtoldt.2
## 914 psych bfi
## 915 psych bfi.dictionary
## 916 psych blant
## 917 psych blot
## 918 psych burt
## 919 psych cattell
## 920 psych cities
## 921 psych cubits
## 922 psych cushny
## 923 psych Dwyer
## 924 psych epi
## 925 psych epi.bfi
## 926 psych epi.dictionary
## 927 psych epiR
## 928 psych galton
## 929 psych Gleser
## 930 psych Gorsuch
## 931 psych Harman.5
## 932 psych Harman.8
## 933 psych Harman.political
## 934 psych heights
## 935 psych Holzinger
## 936 psych Holzinger.9
## 937 psych income
## 938 psych iqitems
## 939 psych msq
## 940 psych msqR
## 941 psych neo
## 942 psych peas
## 943 psych Reise
## 944 psych sai
## 945 psych sai.dictionary
## 946 psych sat.act
## 947 psych Schmid
## 948 psych Schutz
## 949 psych spi
## 950 psych spi.dictionary
## 951 psych tai
## 952 psych Tal_Or
## 953 psych Thurstone
## 954 psych Thurstone.33
## 955 psych Thurstone.9
## 956 psych Tucker
## 957 psych withinBetween
## 958 quantreg barro
## 959 quantreg Bosco
## 960 quantreg CobarOre
## 961 quantreg engel
## 962 quantreg gasprice
## 963 quantreg Mammals
## 964 quantreg uis
## 965 reshape2 french_fries
## 966 reshape2 smiths
## 967 reshape2 tips
## 968 robustbase aircraft
## 969 robustbase airmay
## 970 robustbase alcohol
## 971 robustbase ambientNOxCH
## 972 robustbase Animals2
## 973 robustbase biomassTill
## 974 robustbase bushfire
## 975 robustbase carrots
## 976 robustbase cloud
## 977 robustbase coleman
## 978 robustbase condroz
## 979 robustbase CrohnD
## 980 robustbase cushny
## 981 robustbase delivery
## 982 robustbase education
## 983 robustbase epilepsy
## 984 robustbase exAM
## 985 robustbase foodstamp
## 986 robustbase hbk
## 987 robustbase heart
## 988 robustbase kootenay
## 989 robustbase lactic
## 990 robustbase los
## 991 robustbase milk
## 992 robustbase NOxEmissions
## 993 robustbase pension
## 994 robustbase phosphor
## 995 robustbase pilot
## 996 robustbase possumDiv
## 997 robustbase pulpfiber
## 998 robustbase radarImage
## 999 robustbase salinity
## 1000 robustbase SiegelsEx
## 1001 robustbase starsCYG
## 1002 robustbase steamUse
## 1003 robustbase telef
## 1004 robustbase toxicity
## 1005 robustbase vaso
## 1006 robustbase wagnerGrowth
## 1007 robustbase wood
## 1008 rpart car.test.frame
## 1009 rpart car90
## 1010 rpart cu.summary
## 1011 rpart kyphosis
## 1012 rpart solder
## 1013 rpart stagec
## 1014 sandwich InstInnovation
## 1015 sandwich Investment
## 1016 sandwich PetersenCL
## 1017 sandwich PublicSchools
## 1018 sem Bollen
## 1019 sem CNES
## 1020 sem Klein
## 1021 sem Kmenta
## 1022 sem Tests
## 1023 Stat2Data Alfalfa
## 1024 Stat2Data ArcheryData
## 1025 Stat2Data AutoPollution
## 1026 Stat2Data Backpack
## 1027 Stat2Data BaseballTimes
## 1028 Stat2Data BeeStings
## 1029 Stat2Data BirdNest
## 1030 Stat2Data Blood1
## 1031 Stat2Data BlueJays
## 1032 Stat2Data BritishUnions
## 1033 Stat2Data CAFE
## 1034 Stat2Data CalciumBP
## 1035 Stat2Data CancerSurvival
## 1036 Stat2Data Caterpillars
## 1037 Stat2Data Cereal
## 1038 Stat2Data ChemoTHC
## 1039 Stat2Data ChildSpeaks
## 1040 Stat2Data Clothing
## 1041 Stat2Data CloudSeeding
## 1042 Stat2Data CloudSeeding2
## 1043 Stat2Data CO2
## 1044 Stat2Data CrackerFiber
## 1045 Stat2Data Cuckoo
## 1046 Stat2Data Day1Survey
## 1047 Stat2Data Diamonds
## 1048 Stat2Data Diamonds2
## 1049 Stat2Data Election08
## 1050 Stat2Data Ethanol
## 1051 Stat2Data FantasyBaseball
## 1052 Stat2Data Fertility
## 1053 Stat2Data FGByDistance
## 1054 Stat2Data Film
## 1055 Stat2Data FinalFourIzzo
## 1056 Stat2Data FinalFourLong
## 1057 Stat2Data FinalFourShort
## 1058 Stat2Data Fingers
## 1059 Stat2Data FirstYearGPA
## 1060 Stat2Data FishEggs
## 1061 Stat2Data FlightResponse
## 1062 Stat2Data Fluorescence
## 1063 Stat2Data FruitFlies
## 1064 Stat2Data Goldenrod
## 1065 Stat2Data Grocery
## 1066 Stat2Data Gunnels
## 1067 Stat2Data Hawks
## 1068 Stat2Data HawkTail
## 1069 Stat2Data HawkTail2
## 1070 Stat2Data HearingTest
## 1071 Stat2Data HighPeaks
## 1072 Stat2Data Hoops
## 1073 Stat2Data HorsePrices
## 1074 Stat2Data Houses
## 1075 Stat2Data ICU
## 1076 Stat2Data InfantMortality
## 1077 Stat2Data InsuranceVote
## 1078 Stat2Data Jurors
## 1079 Stat2Data Kids198
## 1080 Stat2Data LeafHoppers
## 1081 Stat2Data Leukemia
## 1082 Stat2Data LongJumpOlympics
## 1083 Stat2Data LostLetter
## 1084 Stat2Data Marathon
## 1085 Stat2Data Markets
## 1086 Stat2Data MathEnrollment
## 1087 Stat2Data MathPlacement
## 1088 Stat2Data MedGPA
## 1089 Stat2Data MentalHealth
## 1090 Stat2Data MetabolicRate
## 1091 Stat2Data MetroHealth83
## 1092 Stat2Data Milgram
## 1093 Stat2Data MLB2007Standings
## 1094 Stat2Data MothEggs
## 1095 Stat2Data NCbirths
## 1096 Stat2Data NFL2007Standings
## 1097 Stat2Data Nursing
## 1098 Stat2Data Olives
## 1099 Stat2Data Orings
## 1100 Stat2Data Overdrawn
## 1101 Stat2Data PalmBeach
## 1102 Stat2Data Pedometer
## 1103 Stat2Data Perch
## 1104 Stat2Data PigFeed
## 1105 Stat2Data Pines
## 1106 Stat2Data Political
## 1107 Stat2Data Pollster08
## 1108 Stat2Data Popcorn
## 1109 Stat2Data PorscheJaguar
## 1110 Stat2Data PorschePrice
## 1111 Stat2Data Pulse
## 1112 Stat2Data Putts1
## 1113 Stat2Data Putts2
## 1114 Stat2Data ReligionGDP
## 1115 Stat2Data Retirement
## 1116 Stat2Data RiverElements
## 1117 Stat2Data RiverIron
## 1118 Stat2Data SampleFG
## 1119 Stat2Data SandwichAnts
## 1120 Stat2Data SATGPA
## 1121 Stat2Data SeaSlugs
## 1122 Stat2Data Sparrows
## 1123 Stat2Data SpeciesArea
## 1124 Stat2Data Speed
## 1125 Stat2Data Swahili
## 1126 Stat2Data TextPrices
## 1127 Stat2Data ThreeCars
## 1128 Stat2Data TipJoke
## 1129 Stat2Data Titanic
## 1130 Stat2Data TMS
## 1131 Stat2Data TomlinsonRush
## 1132 Stat2Data TwinsLungs
## 1133 Stat2Data USstamps
## 1134 Stat2Data Volts
## 1135 Stat2Data WalkingBabies
## 1136 Stat2Data WeightLossIncentive
## 1137 Stat2Data WeightLossIncentive4
## 1138 Stat2Data WeightLossIncentive7
## 1139 Stat2Data WordMemory
## 1140 Stat2Data YouthRisk2007
## 1141 Stat2Data YouthRisk2009
## 1142 survival bladder
## 1143 survival cancer
## 1144 survival cgd
## 1145 survival colon
## 1146 survival flchain
## 1147 survival genfan
## 1148 survival heart
## 1149 survival kidney
## 1150 survival leukemia
## 1151 survival logan
## 1152 survival lung
## 1153 survival mgus
## 1154 survival mgus2
## 1155 survival myeloid
## 1156 survival nwtco
## 1157 survival ovarian
## 1158 survival pbc
## 1159 survival rats
## 1160 survival retinopathy
## 1161 survival rhDNase
## 1162 survival solder
## 1163 survival stanford2
## 1164 survival tobin
## 1165 survival transplant
## 1166 survival uspop2
## 1167 survival veteran
## 1168 texmex liver
## 1169 texmex nidd
## 1170 texmex portpirie
## 1171 texmex rain
## 1172 texmex summer
## 1173 texmex wavesurge
## 1174 texmex winter
## 1175 vcd Arthritis
## 1176 vcd Baseball
## 1177 vcd BrokenMarriage
## 1178 vcd Bundesliga
## 1179 vcd Bundestag2005
## 1180 vcd Butterfly
## 1181 vcd CoalMiners
## 1182 vcd DanishWelfare
## 1183 vcd Employment
## 1184 vcd Federalist
## 1185 vcd Hitters
## 1186 vcd HorseKicks
## 1187 vcd Hospital
## 1188 vcd JobSatisfaction
## 1189 vcd JointSports
## 1190 vcd Lifeboats
## 1191 vcd MSPatients
## 1192 vcd NonResponse
## 1193 vcd OvaryCancer
## 1194 vcd PreSex
## 1195 vcd Punishment
## 1196 vcd RepVict
## 1197 vcd Rochdale
## 1198 vcd Saxony
## 1199 vcd SexualFun
## 1200 vcd SpaceShuttle
## 1201 vcd Suicide
## 1202 vcd Trucks
## 1203 vcd UKSoccer
## 1204 vcd VisualAcuity
## 1205 vcd VonBort
## 1206 vcd WeldonDice
## 1207 vcd WomenQueue
## 1208 Zelig approval
## 1209 Zelig bivariate
## 1210 Zelig CigarettesSW
## 1211 Zelig coalition
## 1212 Zelig coalition2
## 1213 Zelig eidat
## 1214 Zelig free1
## 1215 Zelig free2
## 1216 Zelig friendship
## 1217 Zelig grunfeld
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## 1243 Zelig Zelig.url
## Title
## 1 Monthly Excess Returns
## 2 Delay in AIDS Reporting in England and Wales
## 3 Failures of Air-conditioning Equipment
## 4 Failures of Air-conditioning Equipment
## 5 Car Speeding and Warning Signs
## 6 Remission Times for Acute Myelogenous Leukaemia
## 7 Beaver Body Temperature Data
## 8 Population of U.S. Cities
## 9 Spatial Location of Bramble Canes
## 10 Smoking Deaths Among Doctors
## 11 Calcium Uptake Data
## 12 Sugar-cane Disease Data
## 13 Simulated Manufacturing Process Data
## 14 Weight Data for Domestic Cats
## 15 Position of Muscle Caveolae
## 16 CD4 Counts for HIV-Positive Patients
## 17 Nested Bootstrap of cd4 data
## 18 Channing House Data
## 19 Population of U.S. Cities
## 20 Genetic Links to Left-handedness
## 21 Number of Flaws in Cloth
## 22 Carbon Monoxide Transfer
## 23 Dates of Coal Mining Disasters
## 24 Darwin's Plant Height Differences
## 25 Cardiac Data for Domestic Dogs
## 26 Incidence of Down's Syndrome in British Columbia
## 27 Behavioral and Plumage Characteristics of Hybrid Ducks
## 28 Counts of Balsam-fir Seedlings
## 29 Head Dimensions in Brothers
## 30 Acceleration Due to Gravity
## 31 Acceleration Due to Gravity
## 32 Failure Time of PET Film
## 33 Jura Quartzite Azimuths on Islay
## 34 Average Heights of the Rio Negro river at Manaus
## 35 Survival from Malignant Melanoma
## 36 Data from a Simulated Motorcycle Accident
## 37 Neurophysiological Point Process Data
## 38 Toxicity of Nitrofen in Aquatic Systems
## 39 Nodal Involvement in Prostate Cancer
## 40 Nuclear Power Station Construction Data
## 41 Neurotransmission in Guinea Pig Brains
## 42 Animal Survival Times
## 43 Pole Positions of New Caledonian Laterites
## 44 Cancer Remission and Cell Activity
## 45 Water Salinity and River Discharge
## 46 Survival of Rats after Radiation Doses
## 47 Tau Particle Decay Modes
## 48 Tuna Sighting Data
## 49 Urine Analysis Data
## 50 Australian Relative Wool Prices
## 51 Experimenter Expectations
## 52 American Math Society Survey Data
## 53 Moral Integration of American Cities
## 54 U. S. State Public-School Expenditures
## 55 Arrests for Marijuana Possession
## 56 Methods of Teaching Reading Comprehension
## 57 British Election Panel Study
## 58 Canadian Women's Labour-Force Participation
## 59 Exercise Histories of Eating-Disordered and Control Subjects
## 60 Fraudulent Data on IQs of Twins Raised Apart
## 61 Canadian Population Data
## 62 Voting Intentions in the 1988 Chilean Plebiscite
## 63 The 1907 Romanian Peasant Rebellion
## 64 Cowles and Davis's Data on Volunteering
## 65 Self-Reports of Height and Weight
## 66 Davis's Data on Drive for Thinness
## 67 Minnesota Wolf Depredation Data
## 68 Duncan's Occupational Prestige Data
## 69 The 1980 U.S. Census Undercount
## 70 Florida County Voting
## 71 Crowding and Crime in U. S. Metropolitan Areas
## 72 Format Effects on Recall
## 73 Data on Depression
## 74 Refugee Appeals
## 75 Data from the General Social Survey (GSS) from the National Opinion Research Center of the University of Chicago.
## 76 Anonymity and Cooperation
## 77 Canadian Crime-Rates Time Series
## 78 Highway Accidents
## 79 Treatment of Migraine Headaches
## 80 Data on Infant-Mortality
## 81 Cancer drug data use to provide an example of the use of the skew power distributions.
## 82 Contrived Collinear Data
## 83 Canadian Interprovincial Migration Data
## 84 Status, Authoritarianism, and Conformity
## 85 Minneapolis Demographic Data 2015, by Neighborhood
## 86 Minneapolis Police Department 2017 Stop Data
## 87 U.S. Women's Labor-Force Participation
## 88 O'Brien and Kaiser's Repeated-Measures Data
## 89 Interlocking Directorates Among Major Canadian Firms
## 90 Chemical Composition of Pottery
## 91 Prestige of Canadian Occupations
## 92 Four Regression Datasets
## 93 Fertility and Contraception
## 94 Agricultural Production in Mazulu Village
## 95 Salaries for Professors
## 96 Survey of Labour and Income Dynamics
## 97 Soil Compositions of Physical and Chemical Characteristics
## 98 Education and Related Statistics for the U.S. States
## 99 Survival of Passengers on the Titanic
## 100 Transaction data
## 101 National Statistics from the United Nations, Mostly From 2009-2011
## 102 Population of the United States
## 103 Vocabulary and Education
## 104 Weight Loss Data
## 105 Well Switching in Bangladesh
## 106 Canadian Women's Labour-Force Participation
## 107 Post-Coma Recovery of IQ
## 108 Wool data
## 109 World Values Surveys
## 110 European Union Agricultural Workforces
## 111 Attributes of Animals
## 112 Subset of C-horizon of Kola Data
## 113 Flower Characteristics
## 114 Plant Species Traits Data
## 115 Isotopic Composition Plutonium Batches
## 116 Ruspini Data
## 117 Votes for Republican Candidate in Presidential Elections
## 118 Bivariate Data Set with 3 Clusters
## 119 affairs
## 120 azcabgptca
## 121 azdrg112
## 122 azpro
## 123 azprocedure
## 124 badhealth
## 125 fasttrakg
## 126 fishing
## 127 lbw
## 128 lbwgrp
## 129 loomis
## 130 mdvis
## 131 medpar
## 132 nuts
## 133 rwm
## 134 rwm1984
## 135 rwm5yr
## 136 ships
## 137 smoking
## 138 titanic
## 139 titanicgrp
## 140 Aberrant Crypt Foci in Rat Colons
## 141 Australian athletes data set
## 142 Measurements on a Selection of Books
## 143 Anesthetic Effectiveness
## 144 Averages by block of corn yields, for treatment 111 only
## 145 Averages by block of yields for the Antigua Corn data
## 146 Tasting experiment that compared four apple varieties
## 147 Latitudes and longitudes for ten Australian cities
## 148 Population figures for Australian States and Territories
## 149 Biomass Data
## 150 Australian and Related Historical Annual Climate Data, by region
## 151 Australian and Related Historical Annual Climate Data, by region
## 152 Australian and Related Historical Annual Climate Data, by region
## 153 Southern Oscillation Index Data
## 154 Southern Oscillation Index Data
## 155 Boston Housing Data - Corrected
## 156 US Car Price Data
## 157 A Summary of the Cars93 Data set
## 158 Percentage of Sugar in Breakfast Cereal
## 159 Cape Fur Seal Data
## 160 Populations of Major Canadian Cities (1992-96)
## 161 Dose-mortality data, for fumigation of codling moth with methyl bromide
## 162 Occupation and wage profiles of British cotton workers
## 163 Labour Training Evaluation Data
## 164 Labour Training Evaluation Data
## 165 Labour Training Evaluation Data
## 166 Lifespans of UK 1st class cricketers born 1840-1960
## 167 Comparison of cuckoo eggs with host eggs
## 168 Cuckoo Eggs Data
## 169 Dengue prevalence, by administrative region
## 170 Dewpoint Data
## 171 Periods Between Rain Events
## 172 EPICA Dome C Ice Core 800KYr Carbon Dioxide Data
## 173 EPICA Dome C Ice Core 800KYr Temperature Estimates
## 174 Elastic Band Data Replicated
## 175 Elastic Band Data Replicated Again
## 176 Elastic Band Data
## 177 Fossil Fuel Data
## 178 Female Possum Measurements
## 179 Frogs Data
## 180 Frosted Flakes data
## 181 Electrical Resistance of Kiwi Fruit
## 182 Effect of pentazocine on post-operative pain (average VAS scores)
## 183 Seismic Timing Data
## 184 Yearly averages of Great Lake heights: 1918 - 2009
## 185 Alcohol consumption in Australia and New Zealand
## 186 Minor Head Injury (Simulated) Data
## 187 Minor Head Injury (Simulated) Data
## 188 Scottish Hill Races Data
## 189 Scottish Hill Races Data - 2000
## 190 Hawaian island chain hotspot Potassium-Argon ages
## 191 Hawaian island chain hotspot Argon-Argon ages
## 192 Aranda House Prices
## 193 Oxygen uptake versus mechanical power, for humans
## 194 Oxygen uptake versus mechanical power, for humans
## 195 Named US Atlantic Hurricanes
## 196 Blood pressure versus Salt; inter-population data
## 197 Iron Content Measurements
## 198 Canadian Labour Force Summary Data (1995-96)
## 199 Kiwi Shading Data
## 200 Full Leaf Shape Data Set
## 201 Subset of Leaf Shape Data Set
## 202 Leaf and Air Temperature Data
## 203 Full Leaf and Air Temperature Data Set
## 204 Mouse Litters
## 205 Ontario Lottery Data
## 206 Cape Fur Seal Lung Measurements
## 207 The Nine Largest Lakes in Manitoba
## 208 Deaths in London from measles
## 209 Family Medical Expenses
## 210 Mortality Outcomes for Females Suffering Myocardial Infarction
## 211 Darwin's Wild Mignonette Data
## 212 Milk Sweetness Study
## 213 Model Car Data
## 214 WHO Monica Data
## 215 Moths Data
## 216 Airbag and other influences on accident fatalities
## 217 Documentation of names of columns in nass9702cor
## 218 Record times for Northern Ireland mountain running events
## 219 Labour Training Evaluation Data
## 220 Labour Training Evaluation Data
## 221 Labour Training Evaluation Data
## 222 A Subset of the nsw74psid1 Data Set
## 223 Labour Training Evaluation Data
## 224 Labour Training Evaluation Data
## 225 Measurements on 12 books
## 226 Challenger O-rings Data
## 227 Ozone Data
## 228 Heated Elastic Bands
## 229 Possum Measurements
## 230 Possum Sites
## 231 Deaths from various causes, in London from 1629 till 1881, with gaps
## 232 Primate Body and Brain Weights
## 233 Progression of Record times for track races, 1912 - 2008
## 234 Labour Training Evaluation Data
## 235 Labour Training Evaluation Data
## 236 Labour Training Evaluation Data
## 237 Scottish Hill Races Data - 2000
## 238 Rainforest Data
## 239 Rare and Endangered Plant Species
## 240 Genetically Modified and Wild Type Rice Data
## 241 Pacific Rock Art features
## 242 Lawn Roller Data
## 243 School Science Survey Data
## 244 Barley Seeding Rate Data
## 245 Social Support Data
## 246 Measurements on a Selection of Paperback Books
## 247 sorption data set
## 248 Closing Numbers for S and P 500 Index
## 249 Closing Numbers for S and P 500 Index - First 100 Days of 1990
## 250 Spam E-mail Data
## 251 Averages by block of yields for the St. Vincent Corn data
## 252 Sugar Data
## 253 Car Window Tinting Experiment Data
## 254 Root weights of tomato plants exposed to 4 different treatments
## 255 Toy Cars Data
## 256 Averages by block of corn yields, for treatment 111 only
## 257 Video Lottery Terminal Data
## 258 Wages of Lancashire Cotton Factory Workers in 1833
## 259 Deaths from whooping cough, in London
## 260 Record times for track and road races, at August 9th 2006
## 261 Ability and Intelligence Tests
## 262 Passenger Miles on Commercial US Airlines, 1937-1960
## 263 Monthly Airline Passenger Numbers 1949-1960
## 264 New York Air Quality Measurements
## 265 Anscombe's Quartet of 'Identical' Simple Linear Regressions
## 266 The Joyner-Boore Attenuation Data
## 267 The Chatterjee-Price Attitude Data
## 268 Quarterly Time Series of the Number of Australian Residents
## 269 Sales Data with Leading Indicator
## 270 Biochemical Oxygen Demand
## 271 Speed and Stopping Distances of Cars
## 272 Weight versus age of chicks on different diets
## 273 Chicken Weights by Feed Type
## 274 Mauna Loa Atmospheric CO2 Concentration
## 275 Carbon Dioxide Uptake in Grass Plants
## 276 Student's 3000 Criminals Data
## 277 Yearly Numbers of Important Discoveries
## 278 Elisa assay of DNase
## 279 Smoking, Alcohol and (O)esophageal Cancer
## 280 Conversion Rates of Euro Currencies
## 281 Daily Closing Prices of Major European Stock Indices, 1991-1998
## 282 Old Faithful Geyser Data
## 283 Determination of Formaldehyde
## 284 Freeny's Revenue Data
## 285 Hair and Eye Color of Statistics Students
## 286 Harman Example 2.3
## 287 Harman Example 7.4
## 288 Pharmacokinetics of Indomethacin
## 289 Infertility after Spontaneous and Induced Abortion
## 290 Effectiveness of Insect Sprays
## 291 Edgar Anderson's Iris Data
## 292 Edgar Anderson's Iris Data
## 293 Areas of the World's Major Landmasses
## 294 Quarterly Earnings per Johnson & Johnson Share
## 295 Level of Lake Huron 1875-1972
## 296 Luteinizing Hormone in Blood Samples
## 297 Intercountry Life-Cycle Savings Data
## 298 Growth of Loblolly pine trees
## 299 Longley's Economic Regression Data
## 300 Annual Canadian Lynx trappings 1821-1934
## 301 Michelson Speed of Light Data
## 302 Motor Trend Car Road Tests
## 303 Average Yearly Temperatures in New Haven
## 304 Flow of the River Nile
## 305 Average Monthly Temperatures at Nottingham, 1920-1939
## 306 Classical N, P, K Factorial Experiment
## 307 Occupational Status of Fathers and their Sons
## 308 Growth of Orange Trees
## 309 Potency of Orchard Sprays
## 310 Results from an Experiment on Plant Growth
## 311 Annual Precipitation in US Cities
## 312 Quarterly Approval Ratings of US Presidents
## 313 Vapor Pressure of Mercury as a Function of Temperature
## 314 Reaction Velocity of an Enzymatic Reaction
## 315 Locations of Earthquakes off Fiji
## 316 Random Numbers from Congruential Generator RANDU
## 317 Lengths of Major North American Rivers
## 318 Measurements on Petroleum Rock Samples
## 319 Road Casualties in Great Britain 1969-84
## 320 Student's Sleep Data
## 321 Brownlee's Stack Loss Plant Data
## 322 Monthly Sunspot Data, from 1749 to "Present"
## 323 Yearly Sunspot Data, 1700-1988
## 324 Monthly Sunspot Numbers, 1749-1983
## 325 Swiss Fertility and Socioeconomic Indicators (1888) Data
## 326 Pharmacokinetics of Theophylline
## 327 Survival of passengers on the Titanic
## 328 The Effect of Vitamin C on Tooth Growth in Guinea Pigs
## 329 Yearly Treering Data, -6000-1979
## 330 Girth, Height and Volume for Black Cherry Trees
## 331 Student Admissions at UC Berkeley
## 332 Road Casualties in Great Britain 1969-84
## 333 UK Quarterly Gas Consumption
## 334 Accidental Deaths in the US 1973-1978
## 335 Violent Crime Rates by US State
## 336 Lawyers' Ratings of State Judges in the US Superior Court
## 337 Personal Expenditure Data
## 338 Populations Recorded by the US Census
## 339 Death Rates in Virginia (1940)
## 340 Topographic Information on Auckland's Maunga Whau Volcano
## 341 The Number of Breaks in Yarn during Weaving
## 342 Average Heights and Weights for American Women
## 343 The World's Telephones
## 344 Internet Usage per Minute
## 345 Acifluorfen and diquat tested on Lemna minor.
## 346 Volume of algae as function of increasing concentrations of a herbicide
## 347 Effect of technical grade and commercially formulated auxin herbicides
## 348 Germination of common chickweed (_Stellaria media_)
## 349 Germination of common chickweed (_Stellaria media_)
## 350 Daphnia test
## 351 Performance of decontaminants used in the culturing of a micro-organism
## 352 Deguelin applied to chrysanthemum aphis
## 353 Earthworm toxicity test
## 354 Effect of erythromycin on mixed sewage microorganisms
## 355 Example from Finney (1971)
## 356 Herbicide applied to Galium aparine
## 357 Germination of three crops
## 358 Glyphosate and metsulfuron-methyl tested on algae.
## 359 Mortality of tobacco budworms
## 360 Heart rate baroreflexes for rabbits
## 361 Leaf length of barley
## 362 Dose-response profile of degradation of agrochemical using lepidium
## 363 Hormesis in lettuce plants
## 364 Effect of an effluent on the growth of mysid shrimp
## 365 Mechlorprop and terbythylazine tested on Lemna minor
## 366 Data from heavy metal mixture experiments
## 367 Weight gain for different methionine sources
## 368 Dose-response profile of degradation of agrochemical using nasturtium
## 369 Test data from a 21 day fish test
## 370 Effect of sodium pentachlorophenate on growth of fathead minnow
## 371 Competition between two biotypes
## 372 Effect of ferulic acid on growth of ryegrass
## 373 Potency of two herbicides
## 374 Effect of cadmium on growth of green alga
## 375 Root length measurements
## 376 Data from toxicology experiments with selenium
## 377 Inhibition of photosynthesis
## 378 The effect of terbuthylazin on growth rate
## 379 Vinclozolin from AR in vitro assay
## 380 Ship Accidents
## 381 Cost for U.S. Airlines
## 382 Air Quality for Californian Metropolitan Areas
## 383 Countries in Banking Crises
## 384 Unemployment of Blue Collar Workers
## 385 Bids Received By U.S. Firms
## 386 Cyber Security Breaches
## 387 Budget Share of Food for Spanish Households
## 388 Budget Shares for Italian Households
## 389 Budget Shares of British Households
## 390 Wages in Belgium
## 391 Stock Market Data
## 392 Stated Preferences for Car Choice
## 393 The California Test Score Data Set
## 394 Choice of Brand for Catsup
## 395 Cigarette Consumption
## 396 The Cigarette Consumption Panel Data Set
## 397 Sales Data of Men's Fashion Stores
## 398 Prices of Personal Computers
## 399 Quarterly Data on Consumption and Expenditure
## 400 Earnings from the Current Population Survey
## 401 Choice of Brand for Crakers
## 402 Growth of CRAN
## 403 Crime in North Carolina
## 404 Daily Returns from the CRSP Database
## 405 Monthly Returns from the CRSP Database
## 406 Pricing the C's of Diamond Stones
## 407 DM Dollar Exchange Rate
## 408 Number of Doctor Visits
## 409 Doctor Visits in Australia
## 410 Contacts With Medical Doctor
## 411 Earnings for Three Age Groups
## 412 Cost Function for Electricity Producers
## 413 Extramarital Affairs Data
## 414 Drunk Driving Laws and Traffic Deaths
## 415 Choice of Fishing Mode
## 416 Exchange Rates of US Dollar Against Other Currencies
## 417 Data from the Television Game Show Friend Or Foe ?
## 418 Daily Observations on Exchange Rates of the US Dollar Against Other Currencies
## 419 Gasoline Consumption
## 420 Wage Datas
## 421 Grunfeld Investment Data
## 422 Heating and Cooling System Choice in Newly Built Houses in California
## 423 The Boston HMDA Data Set
## 424 Heating System Choice in California Houses
## 425 Hedonic Prices of Census Tracts in Boston
## 426 Cybersecurity breaches reported to the US Department of Health and Human Services
## 427 Health Insurance and Hours Worked By Wives
## 428 The Boston HMDA Data Set
## 429 Sales Prices of Houses in the City of Windsor
## 430 Housing Starts
## 431 Ice Cream Consumption
## 432 Global Terrorism Database yearly summaries
## 433 Income Inequality in the US
## 434 Seasonally Unadjusted Quarterly Data on Disposable Income and Expenditure
## 435 Monthly Interest Rates
## 436 Economic Journals Dat Set
## 437 Willingness to Pay for the Preservation of the Kakadu National Park
## 438 Choice of Brand for Ketchup
## 439 Klein's Model I
## 440 Wages and Hours Worked
## 441 Belgian Firms
## 442 The Longley Data
## 443 Dollar Sterling Exchange Rate
## 444 Macroeconomic Time Series for the United States
## 445 Wages and Education of Young Males
## 446 Manufacturing Costs
## 447 Level of Calculus Attained for Students Taking Advanced Micro-economics
## 448 The Massachusetts Test Score Data Set
## 449 Structure of Demand for Medical Care
## 450 Production for SIC 33
## 451 Inflation and Interest Rates
## 452 Mode Choice
## 453 Data to Study Travel Mode Choice
## 454 International Expansion of U.S. Mofa's (majority-owned Foreign Affiliates in Fire (finance, Insurance and Real Estate)
## 455 Money, GDP and Interest Rate in Canada
## 456 Macroeconomic Series for the United States
## 457 Money, National Product and Interest Rate
## 458 Labor Supply Data
## 459 Municipal Expenditure Data
## 460 Growth of Disposable Income and Treasury Bill Rate
## 461 Willingness to Pay for the Preservation of the Alentejo Natural Park
## 462 Cost Function for Electricity Producers, 1955
## 463 Global Terrorism Database yearly summaries
## 464 Names with Character Set Problems
## 465 Visits to Physician Office
## 466 Oil Investment
## 467 The Orange Juice Data Set
## 468 Labor Force Participation
## 469 Dynamic Relation Between Patents and R&D
## 470 Patents, R&D and Technological Spillovers for a Panel of Firms
## 471 Price and Earnings Index
## 472 Political knowledge in the US and Europe
## 473 Pound-dollar Exchange Rate
## 474 Exchange Rates and Price Indices for France and Italy
## 475 Returns of Size-based Portfolios
## 476 Us States Production
## 477 Panel Survey of Income Dynamics
## 478 Return to Schooling
## 479 Wages and Schooling
## 480 Solow's Technological Change Data
## 481 Visits to Lake Somerville
## 482 Returns on Standard & Poor's 500 Index
## 483 Effects on Learning of Small Class Sizes
## 484 Strike Duration Data
## 485 Strikes Duration
## 486 Number of Strikes in Us Manufacturing
## 487 The Penn Table
## 488 Interest Rate, GDP and Inflation
## 489 Global Terrorism Database yearly summaries
## 490 Households Tobacco Budget Share
## 491 Stated Preferences for Train Traveling
## 492 Statewide Data on Transportation Equipment Manufacturing
## 493 Evaluating Treatment Effect of Training on Earnings
## 494 Choice of Brand for Tuna
## 495 Unemployment Duration
## 496 Unemployment Duration
## 497 Provision of University Teaching and Research
## 498 Official Secrecy of the United States Government
## 499 US Finance Industry Profits
## 500 US GDP per capita with presidents and wars
## 501 Standard abbreviations for states of the United States
## 502 Number of Words in US Tax Law
## 503 Medical Expenses in Viet-nam (household Level)
## 504 Medical Expenses in Viet-nam (individual Level)
## 505 Panel Datas of Individual Wages
## 506 Wages, Experience and Schooling
## 507 Wife Working Hours
## 508 Yen-dollar Exchange Rate
## 509 Choice of Brand for Yogurts
## 510 Daily Log Returns on BMW Share Price
## 511 Danish Fire Insurance Claims
## 512 The River Nidd Data
## 513 The River Nidd Data
## 514 Daily Log Returns on Siemens Share Price
## 515 SP Data to June 1993
## 516 SP Return Data to October 1987
## 517 Australian monthly gas production
## 518 Daily morning gold prices
## 519 Half-hourly electricity demand
## 520 Australian total wine sales
## 521 Quarterly production of woollen yarn in Australia
## 522 Monthly anti-diabetic drug sales in Australia from 1991 to 2008.
## 523 International Arrivals to Australia
## 524 Air Transport Passengers Australia
## 525 Quarterly Australian Beer production
## 526 Monthly expenditure on eating out in Australia
## 527 International visitors to Australia
## 528 International Tourists to Australia: Total visitor nights.
## 529 Call volume for a large North American bank
## 530 Retail debit card usage in Iceland.
## 531 Total monthly departures from Australia
## 532 Half-hourly and daily electricity demand for Victoria, Australia, in 2014
## 533 Half-hourly and daily electricity demand for Victoria, Australia, in 2014
## 534 Electrical equipment manufactured in the Euro area.
## 535 Electricity sales to residential customers in South Australia.
## 536 Quarterly retail trade: Euro area.
## 537 US finished motor gasoline product supplied.
## 538 Daily closing stock prices of Google Inc
## 539 Daily closing stock prices of Google Inc
## 540 Rice production (Guinea)
## 541 Monthly corticosteroid drug sales in Australia from July 1991 to June 2008.
## 542 Daily pageviews for the Hyndsight blog. 30 April 2014 to 29 April 2015.
## 543 Insurance quotations and advertising expenditure.
## 544 Livestock (sheep) in Asia, 1961-2007.
## 545 Boston marathon winning times since 1897
## 546 Maximum annual temperatures at Moorabbin Airport, Melbourne
## 547 Total weekly air passenger numbers on Ansett airline flights between Melbourne and Sydney, 1987-1992.
## 548 Winning times in Olympic men's 400m track final. 1896-2016.
## 549 Annual oil production in Saudi Arabia
## 550 prison
## 551 prison
## 552 Quarterly Australian Electricity production
## 553 Quarterly Australian Portland Cement production
## 554 Quarterly Australian Gas Production
## 555 Annual average sunspot area (1875-2015)
## 556 Growth rates of personal consumption and personal income in the USA.
## 557 Electricity monthly total net generation. January 1973 - June 2013.
## 558 Quarterly visitor nights for various regions of Australia.
## 559 Annual female murder rate (per 100,000 standard population) in the USA. 1950-2004.
## 560 Aircraft Crash data
## 561 Chronic bronchitis in a sample of men in Cardiff
## 562 Historical speed of light measurements
## 563 US fatal road accident data for automobiles, 1998 to 2010
## 564 US fatal road accident data, 2007 and 2008
## 565 US fatal road accident data, 2007 and 2008
## 566 Summary information on records omitted from the 'FARS' dataset
## 567 German credit scoring data
## 568 Global temperature anomalies
## 569 ALDH2 markers and Alcoholism
## 570 APOE/APOC1 markers and Alzheimer's
## 571 Cystic fibrosis data
## 572 Crohn's disease data
## 573 Friedreich Ataxia data
## 574 A case-control data involving four SNPs with missing genotype
## 575 The HLA data
## 576 An example pedigree data
## 577 An example pedigree
## 578 A study of Parkinson's disease and MAO gene
## 579 A pedigree data on 282 animals deriving from two generations
## 580 Example data for ACEnucfam
## 581 A study of Alzheimer's disease with eight SNPs and APOE
## 582 A study of Parkinson's disease and APOE, LRRK2, SNCA makers
## 583 Growth curves of pigs in a 3x3 factorial experiment
## 584 Ordinal Data from Koch
## 585 Ohio Children Wheeze Status
## 586 Clustered Ordinal Respiratory Disorder
## 587 Data from a clinical trial comparing two treatments for a respiratory illness
## 588 Epiliptic Seizures
## 589 Growth of Sitka Spruce Trees
## 590 Log-size of 79 Sitka spruce trees
## 591 Prices of 50,000 round cut diamonds
## 592 US economic time series
## 593 US economic time series
## 594 2d density estimate of Old Faithful data
## 595 'colors()' in Luv space
## 596 Midwest demographics
## 597 Fuel economy data from 1999 and 2008 for 38 popular models of car
## 598 An updated and expanded version of the mammals sleep dataset
## 599 Terms of 11 presidents from Eisenhower to Obama
## 600 Vector field of seal movements
## 601 Housing sales in TX
## 602 Arbuthnot's data on male and female birth ratios in London from 1629-1710.
## 603 La Felicisima Armada
## 604 Bowley's data on values of British and Irish trade, 1855-1899
## 605 Cavendish's Determinations of the Density of the Earth
## 606 Chest measurements of 5738 Scottish Militiamen
## 607 William Farr's Data on Cholera in London, 1849
## 608 Cushny-Peebles Data: Soporific Effects of Scopolamine Derivatives
## 609 Cushny-Peebles Data: Soporific Effects of Scopolamine Derivatives
## 610 Edgeworth's counts of dactyls in Virgil's Aeneid
## 611 Elderton and Pearson's (1910) data on drinking and wages
## 612 Waite's data on Patterns in Fingerprints
## 613 Galton's data on the heights of parents and their children
## 614 Galton's data on the heights of parents and their children, by child
## 615 Data from A.-M. Guerry, "Essay on the Moral Statistics of France"
## 616 Halley's Life Table
## 617 W. Stanley Jevons' data on numerical discrimination
## 618 van Langren's Data on Longitude Distance between Toledo and Rome
## 619 van Langren's Data on Longitude Distance between Toledo and Rome
## 620 Macdonell's Data on Height and Finger Length of Criminals, used by Gosset (1908)
## 621 Macdonell's Data on Height and Finger Length of Criminals, used by Gosset (1908)
## 622 Michelson's Determinations of the Velocity of Light
## 623 Michelson's Determinations of the Velocity of Light
## 624 Data from Minard's famous graphic map of Napoleon's march on Moscow
## 625 Data from Minard's famous graphic map of Napoleon's march on Moscow
## 626 Data from Minard's famous graphic map of Napoleon's march on Moscow
## 627 Florence Nightingale's data on deaths from various causes in the Crimean War
## 628 Latitudes and Longitudes of 39 Points in 11 Old Maps
## 629 Pearson and Lee's data on the heights of parents and children classified by gender
## 630 Polio Field Trials Data
## 631 Parent-Duchatelet's time-series data on the number of prostitutes in Paris
## 632 Trial of the Pyx
## 633 Statistics of Deadly Quarrels
## 634 John Snow's Map and Data on the 1854 London Cholera Outbreak
## 635 John Snow's Map and Data on the 1854 London Cholera Outbreak
## 636 John Snow's Map and Data on the 1854 London Cholera Outbreak
## 637 John Snow's Map and Data on the 1854 London Cholera Outbreak
## 638 John Snow's Map and Data on the 1854 London Cholera Outbreak
## 639 John F. W. Herschel's Data on the Orbit of the Twin Stars gamma _Virginis_
## 640 John F. W. Herschel's Data on the Orbit of the Twin Stars gamma _Virginis_
## 641 Playfair's Data on Wages and the Price of Wheat
## 642 Playfair's Data on Wages and the Price of Wheat
## 643 Student's (1906) Yeast Cell Counts
## 644 Student's (1906) Yeast Cell Counts
## 645 Darwin's Heights of Cross- and Self-fertilized Zea May Pairs
## 646 Total Body Composision Data
## 647 Aspirin Data
## 648 BCG Vaccine Data
## 649 Birth and Death Rates Data
## 650 Bladder Cancer Data
## 651 Beat the Blues Data
## 652 Cloud Seeding Data
## 653 CYG OB1 Star Cluster Data
## 654 Epilepsy Data
## 655 The Forbes 2000 Ranking of the World's Biggest Companies (Year 2004)
## 656 Foster Feeding Experiment
## 657 General Health Questionnaire
## 658 Olympic Heptathlon Seoul 1988
## 659 Prevention of Gastointestinal Damages
## 660 Survival Times after Mastectomy of Breast Cancer Patients
## 661 Meteorological Measurements for 11 Years
## 662 Oral Lesions in Rural India
## 663 Phosphate Level Data
## 664 Piston Rings Failures
## 665 Exoplanets Data
## 666 Blood Screening Data
## 667 Familial Andenomatous Polyposis
## 668 Familial Andenomatous Polyposis
## 669 Romano-British Pottery Data
## 670 Rearrests of Juvenile Felons
## 671 Respiratory Illness Data
## 672 Students Estimates of Lecture Room Width
## 673 Age of Onset of Schizophrenia Data
## 674 Schizophrenia Data
## 675 Days not Spent at School
## 676 Egyptian Skulls
## 677 Nicotine Gum and Smoking Cessation
## 678 Student Risk Taking
## 679 Crowd Baiting Behaviour and Suicides
## 680 Toothpaste Data
## 681 House of Representatives Voting Data
## 682 Mortality and Water Hardness
## 683 Water Voles Data
## 684 Electricity from Wave Power at Sea
## 685 Gain in Weight of Rats
## 686 Womens Role in Society
## 687 Observed genotype frequencies at MN and S loci, for 2 populations
## 688 Mendel's F2 trifactorial data for seed shape (A: round or wrinkled), cotyledon color (B: albumen yellow or green), and seed coat color (C: grey-brown or white)
## 689 Auto Data Set
## 690 The Insurance Company (TIC) Benchmark
## 691 Sales of Child Car Seats
## 692 U.S. News and World Report's College Data
## 693 Credit Card Balance Data
## 694 Credit Card Default Data
## 695 Baseball Data
## 696 NCI 60 Data
## 697 Orange Juice Data
## 698 Portfolio Data
## 699 S&P Stock Market Data
## 700 Mid-Atlantic Wage Data
## 701 Weekly S&P Stock Market Data
## 702 data from Section 1.19
## 703 data from Section 1.9
## 704 data from Exercise 13.1, p418
## 705 data from Exercise 4.7, p122
## 706 data from Exercise 5.8, p147
## 707 data from Section 1.18
## 708 data from Section 1.14
## 709 data from Section 1.3
## 710 data from Exercise 7.7, p223
## 711 data from Section 1.5
## 712 data from Section 1.6
## 713 data from Section 1.16
## 714 data from Section 1.2
## 715 data from Exercise 7.6, p222
## 716 data from Section 1.10
## 717 data from Section 1.4
## 718 Data on 38 individuals using a kidney dialysis machine
## 719 data from Section 1.7
## 720 data from Section 1.8
## 721 data from Exercise 4.4, p120
## 722 data from Section 1.13
## 723 data from Section 1.15
## 724 data from Exercise 7.13, p225
## 725 data from Section 1.12
## 726 data from Exercise 5.6, p146
## 727 data from Section 1.11
## 728 data from Exercise 7.14, p225
## 729 Yield data from a Minnesota barley trial
## 730 Atmospheric environmental conditions in New York City
## 731 Engine exhaust fumes from burning ethanol
## 732 Melanoma skin cancer incidence
## 733 Heights of New York Choral Society singers
## 734 Mortality Rates in US by Cause and Gender
## 735 Mortality Rates in US by Cause and Gender
## 736 Arabidopsis clipping/fertilization data
## 737 Breakage Angle of Chocolate Cakes
## 738 Contagious bovine pleuropneumonia
## 739 Yield of dyestuff by batch
## 740 Yield of dyestuff by batch
## 741 Data on red grouse ticks from Elston et al. 2001
## 742 University Lecture/Instructor Evaluations by Students at ETH
## 743 Paste strength by batch and cask
## 744 Variation in penicillin testing
## 745 Reaction times in a sleep deprivation study
## 746 Verbal Aggression item responses
## 747 Data set for Unstructured Treatment Interruption Study
## 748 Determinations of Nickel Content
## 749 Accidental Deaths in the US 1973-1978
## 750 Australian AIDS Survival Data
## 751 Brain and Body Weights for 28 Species
## 752 Anorexia Data on Weight Change
## 753 Presence of Bacteria after Drug Treatments
## 754 Body Temperature Series of Beaver 1
## 755 Body Temperature Series of Beaver 2
## 756 Biopsy Data on Breast Cancer Patients
## 757 Risk Factors Associated with Low Infant Birth Weight
## 758 Housing Values in Suburbs of Boston
## 759 Data from a cabbage field trial
## 760 Colours of Eyes and Hair of People in Caithness
## 761 Data from 93 Cars on Sale in the USA in 1993
## 762 Anatomical Data from Domestic Cats
## 763 Heat Evolved by Setting Cements
## 764 Copper in Wholemeal Flour
## 765 Co-operative Trial in Analytical Chemistry
## 766 Performance of Computer CPUs
## 767 Morphological Measurements on Leptograpsus Crabs
## 768 Diagnostic Tests on Patients with Cushing's Syndrome
## 769 DDT in Kale
## 770 Monthly Deaths from Lung Diseases in the UK
## 771 Deaths of Car Drivers in Great Britain 1969-84
## 772 Foraging Ecology of Bald Eagles
## 773 Seizure Counts for Epileptics
## 774 Ecological Factors in Farm Management
## 775 Measurements of Forensic Glass Fragments
## 776 Forbes' Data on Boiling Points in the Alps
## 777 Level of GAG in Urine of Children
## 778 Velocities for 82 Galaxies
## 779 Remission Times of Leukaemia Patients
## 780 Rat Genotype Data
## 781 Old Faithful Geyser Data
## 782 Line Transect of Soil in Gilgai Territory
## 783 Record Times in Scottish Hill Races
## 784 Frequency Table from a Copenhagen Housing Conditions Survey
## 785 Yields from a Barley Field Trial
## 786 Numbers of Car Insurance claims
## 787 Survival Times and White Blood Counts for Leukaemia Patients
## 788 Brain and Body Weights for 62 Species of Land Mammals
## 789 Data from a Simulated Motorcycle Accident
## 790 Survival from Malignant Melanoma
## 791 Age of Menarche in Warsaw
## 792 Michelson's Speed of Light Data
## 793 Minnesota High School Graduates of 1938
## 794 Accelerated Life Testing of Motorettes
## 795 Effect of Calcium Chloride on Muscle Contraction in Rat Hearts
## 796 Newcomb's Measurements of the Passage Time of Light
## 797 Eighth-Grade Pupils in the Netherlands
## 798 Classical N, P, K Factorial Experiment
## 799 US Naval Petroleum Reserve No. 1 data
## 800 Data from an Oats Field Trial
## 801 Tests of Auditory Perception in Children with OME
## 802 The Painter's Data of de Piles
## 803 N. L. Prater's Petrol Refinery Data
## 804 Belgium Phone Calls 1950-1973
## 805 Diabetes in Pima Indian Women
## 806 Diabetes in Pima Indian Women
## 807 Diabetes in Pima Indian Women
## 808 Absenteeism from School in Rural New South Wales
## 809 Blood Pressure in Rabbits
## 810 Road Accident Deaths in US States
## 811 Numbers of Rotifers by Fluid Density
## 812 Accelerated Testing of Tyre Rubber
## 813 Ships Damage Data
## 814 Shoe wear data of Box, Hunter and Hunter
## 815 Percentage of Shrimp in Shrimp Cocktail
## 816 Space Shuttle Autolander Problem
## 817 Growth Curves for Sitka Spruce Trees in 1988
## 818 Growth Curves for Sitka Spruce Trees in 1989
## 819 AFM Compositions of Aphyric Skye Lavas
## 820 Snail Mortality Data
## 821 Returns of the Standard and Poors 500
## 822 The Saturated Steam Pressure Data
## 823 The Stormer Viscometer Data
## 824 Student Survey Data
## 825 Synthetic Classification Problem
## 826 Synthetic Classification Problem
## 827 Spatial Topographic Data
## 828 Effect of Swedish Speed Limits on Accidents
## 829 Nutritional and Marketing Information on US Cereals
## 830 The Effect of Punishment Regimes on Crime Rates
## 831 Veteran's Administration Lung Cancer Trial
## 832 Counts of Waders at 15 Sites in South Africa
## 833 House Insulation: Whiteside's Data
## 834 Weight Loss Data from an Obese Patient
## 835 Example Data for the Design Functions
## 836 Example Data for the Crossover Encouragement Design
## 837 Brader, Valentino and Suhay (2008) Framing Experiment Data
## 838 JOBS II data
## 839 School-level data
## 840 Hypothetical student-level data
## 841 Subset of variables from the CHAIN project
## 842 National Longitudinal Survey of Youth Extract
## 843 Alcohol Consumption per Capita
## 844 US Births in 1969 - 1988
## 845 US Births
## 846 US Births in 2015
## 847 US Births in 1978
## 848 Standard Deck of Cards
## 849 CoolingWater
## 850 Countries
## 851 Data from the 1985 Current Population Survey (CPS85)
## 852 Weight of dimes
## 853 Galton's dataset of parent and child heights
## 854 Data from the Child Health and Development Studies
## 855 Goose Permit Study
## 856 Data from a heat exchanger laboratory
## 857 Health Evaluation and Linkage to Primary Care
## 858 Health Evaluation and Linkage to Primary Care
## 859 Health Evaluation and Linkage to Primary Care
## 860 Foot measurements in children
## 861 Marriage records
## 862 Mites and Wilt Disease
## 863 Volume of Users of a Rail Trail
## 864 Volume of Users of a Massachusetts Rail Trail
## 865 Houses in Saratoga County (2006)
## 866 State by State SAT data
## 867 Snowfall data for Grand Rapids, MI
## 868 100 m Swimming World Records
## 869 Cherry Blossom Race
## 870 Utility bills
## 871 Utility bills
## 872 Weather
## 873 Data from the Whickham survey
## 874 Rheumatoid Arthritis Clinical Trial
## 875 Homeless Data
## 876 Cigarette Consumption
## 877 Crime in North Carolina
## 878 Employment and Wages in the United Kingdom
## 879 Gasoline Consumption
## 880 Grunfeld's Investment Data
## 881 Hedonic Prices of Census Tracts in the Boston Area
## 882 Wages and Hours Worked
## 883 Wages and Education of Young Males
## 884 Purchasing Power Parity and other parity relationships
## 885 US States Production
## 886 Production of Rice in Indonesia
## 887 Employment and Wages in Spain
## 888 The Penn World Table, v. 5
## 889 Panel Data of Individual Wages
## 890 Yearly batting records for all major league baseball players
## 891 Monthly ozone measurements over Central America.
## 892 Absentee and Machine Ballots in Pennsylvania State Senate Races
## 893 Applications to a Political Science PhD Program
## 894 Political opinion polls in Australia, 2004-07
## 895 elections to Australian House of Representatives, 1949-2016
## 896 article production by graduate students in biochemistry Ph.D. programs
## 897 California Congressional Districts in 2006
## 898 Batting Averages for 18 major league baseball players, 1970
## 899 U.S. Senate vote on the use of force against Iraq, 2002.
## 900 political parties appearing in the U.S. Congress
## 901 Interviewer ratings of respondent levels of political information
## 902 elections for U.S. President, 1932-2016, by state
## 903 Prussian army horse kick data
## 904 Voter turnout experiment, using Rock The Vote ads
## 905 information about the American states needed for U.S. Congress
## 906 1992 United Kingdom electoral returns
## 907 cross national rates of trade union density
## 908 Reports of voting in the 1992 U.S. Presidential election.
## 909 16 ability items scored as correct or incorrect.
## 910 Two data sets of affect and arousal scores as a function of personality and movie conditions
## 911 Seven data sets showing a bifactor solution.
## 912 Seven data sets showing a bifactor solution.
## 913 Seven data sets showing a bifactor solution.
## 914 25 Personality items representing 5 factors
## 915 25 Personality items representing 5 factors
## 916 A 29 x 29 matrix that produces weird factor analytic results
## 917 Bond's Logical Operations Test - BLOT
## 918 11 emotional variables from Burt (1915)
## 919 12 cognitive variables from Cattell (1963)
## 920 Distances between 11 US cities
## 921 Galton's example of the relationship between height and 'cubit' or forearm length
## 922 A data set from Cushny and Peebles (1905) on the effect of three drugs on hours of sleep, used by Student (1908)
## 923 8 cognitive variables used by Dwyer for an example.
## 924 Eysenck Personality Inventory (EPI) data for 3570 participants
## 925 13 personality scales from the Eysenck Personality Inventory and Big 5 inventory
## 926 Eysenck Personality Inventory (EPI) data for 3570 participants
## 927 Eysenck Personality Inventory (EPI) data for 3570 participants
## 928 Galton's Mid parent child height data
## 929 Example data from Gleser, Cronbach and Rajaratnam (1965) to show basic principles of generalizability theory.
## 930 Example data set from Gorsuch (1997) for an example factor extension.
## 931 Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt
## 932 Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt
## 933 Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt
## 934 A data.frame of the Galton (1888) height and cubit data set.
## 935 Seven data sets showing a bifactor solution.
## 936 Seven data sets showing a bifactor solution.
## 937 US family income from US census 2008
## 938 16 multiple choice IQ items
## 939 75 mood items from the Motivational State Questionnaire for 3896 participants
## 940 75 mood items from the Motivational State Questionnaire for 3032 unique participants
## 941 NEO correlation matrix from the NEO_PI_R manual
## 942 Galton's Peas
## 943 Seven data sets showing a bifactor solution.
## 944 State Anxiety data from the PMC lab over multiple occasions.
## 945 State Anxiety data from the PMC lab over multiple occasions.
## 946 3 Measures of ability: SATV, SATQ, ACT
## 947 12 variables created by Schmid and Leiman to show the Schmid-Leiman Transformation
## 948 The Schutz correlation matrix example from Shapiro and ten Berge
## 949 A sample from the SAPA Personality Inventory including an item dictionary and scoring keys.
## 950 A sample from the SAPA Personality Inventory including an item dictionary and scoring keys.
## 951 State Anxiety data from the PMC lab over multiple occasions.
## 952 Data set testing causal direction in presumed media influence
## 953 Seven data sets showing a bifactor solution.
## 954 Seven data sets showing a bifactor solution.
## 955 Seven data sets showing a bifactor solution.
## 956 9 Cognitive variables discussed by Tucker and Lewis (1973)
## 957 An example of the distinction between within group and between group correlations
## 958 Barro Data
## 959 Boscovich Data
## 960 Cobar Ore data
## 961 Engel Data
## 962 Time Series of US Gasoline Prices
## 963 Garland(1983) Data on Running Speed of Mammals
## 964 UIS Drug Treatment study data
## 965 Sensory data from a french fries experiment.
## 966 Demo data describing the Smiths.
## 967 Tipping data
## 968 Aircraft Data
## 969 Air Quality Data
## 970 Alcohol Solubility in Water Data
## 971 Daily Means of NOx (mono-nitrogen oxides) in air
## 972 Brain and Body Weights for 65 Species of Land Animals
## 973 Biomass Tillage Data
## 974 Campbell Bushfire Data
## 975 Insect Damages on Carrots
## 976 Cloud point of a Liquid
## 977 Coleman Data Set
## 978 Condroz Data
## 979 Crohn's Disease Adverse Events Data
## 980 Cushny and Peebles Prolongation of Sleep Data
## 981 Delivery Time Data
## 982 Education Expenditure Data
## 983 Epilepsy Attacks Data Set
## 984 Example Data of Antille and May - for Simple Regression
## 985 Food Stamp Program Participation
## 986 Hawkins, Bradu, Kass's Artificial Data
## 987 Heart Catherization Data
## 988 Waterflow Measurements of Kootenay River in Libby and Newgate
## 989 Lactic Acid Concentration Measurement Data
## 990 Length of Stay Data
## 991 Daudin's Milk Composition Data
## 992 NOx Air Pollution Data
## 993 Pension Funds Data
## 994 Phosphorus Content Data
## 995 Pilot-Plant Data
## 996 Possum Diversity Data
## 997 Pulp Fiber and Paper Data
## 998 Satellite Radar Image Data from near Munich
## 999 Salinity Data
## 1000 Siegel's Exact Fit Example Data
## 1001 Hertzsprung-Russell Diagram Data of Star Cluster CYG OB1
## 1002 Steam Usage Data (Excerpt)
## 1003 Number of International Calls from Belgium
## 1004 Toxicity of Carboxylic Acids Data
## 1005 Vaso Constriction Skin Data Set
## 1006 Wagner's Hannover Employment Growth Data
## 1007 Modified Data on Wood Specific Gravity
## 1008 Automobile Data from 'Consumer Reports' 1990
## 1009 Automobile Data from 'Consumer Reports' 1990
## 1010 Automobile Data from 'Consumer Reports' 1990
## 1011 Data on Children who have had Corrective Spinal Surgery
## 1012 Soldering of Components on Printed-Circuit Boards
## 1013 Stage C Prostate Cancer
## 1014 Innovation and Institutional Ownership
## 1015 US Investment Data
## 1016 Petersen's Simulated Data for Assessing Clustered Standard Errors
## 1017 US Expenditures for Public Schools
## 1018 Bollen's Data on Industrialization and Political Democracy
## 1019 Variables from the 1997 Canadian National Election Study
## 1020 Klein's Data on the U. S. Economy
## 1021 Partly Artificial Data on the U. S. Economy
## 1022 Six Mental Tests
## 1023 Alfalfa
## 1024 ArcheryData
## 1025 AutoPollution
## 1026 Backpack
## 1027 BaseballTimes
## 1028 BeeStings
## 1029 BirdNest
## 1030 Blood1
## 1031 Blue Jays
## 1032 BritishUnions
## 1033 CAFE
## 1034 CalciumBP
## 1035 CancerSurvival
## 1036 Caterpillars
## 1037 Cereal
## 1038 ChemoTHC
## 1039 ChildSpeaks
## 1040 Clothing
## 1041 Cloud Seeding
## 1042 Cloud Seeding 2
## 1043 CO2
## 1044 Cracker Fiber in Diets
## 1045 Cuckoo
## 1046 Day1Survey
## 1047 Diamonds
## 1048 Diamonds2
## 1049 Election08
## 1050 Ethanol
## 1051 FantasyBaseball
## 1052 Fertility
## 1053 FGByDistance
## 1054 Film
## 1055 FinalFourIzzo
## 1056 FinalFourLong
## 1057 FinalFourShort
## 1058 Fingers
## 1059 FirstYearGPA
## 1060 FishEggs
## 1061 FlightResponse
## 1062 Fluorescence
## 1063 FruitFlies
## 1064 Goldenrod Galls
## 1065 Grocery
## 1066 Gunnels
## 1067 Hawks
## 1068 HawkTail
## 1069 HawkTail2
## 1070 HearingTest
## 1071 HighPeaks
## 1072 Hoops
## 1073 HorsePrices
## 1074 Houses
## 1075 ICU
## 1076 InfantMortality
## 1077 InsuranceVote
## 1078 Jurors
## 1079 Kids198
## 1080 LeafHoppers
## 1081 Leukemia
## 1082 LongJumpOlympics
## 1083 LostLetter
## 1084 Marathon
## 1085 Markets
## 1086 Math Enrollments
## 1087 Math Placement
## 1088 MedGPA
## 1089 Mental Health Admissions
## 1090 Metabolic Rate of Caterpillars
## 1091 MetroHealth83
## 1092 Milgram
## 1093 MLB2007Standings
## 1094 Moth Eggs
## 1095 NCbirths
## 1096 NFL2007Standings
## 1097 Nursing
## 1098 Olives
## 1099 Orings
## 1100 Overdrawn
## 1101 PalmBeach
## 1102 Pedometer
## 1103 Perch
## 1104 PigFeed
## 1105 Pines
## 1106 Political
## 1107 Pollster08
## 1108 Popcorn
## 1109 PorscheJaguar
## 1110 PorschePrice
## 1111 Pulse
## 1112 Putts1
## 1113 Putts2
## 1114 ReligionGDP
## 1115 Retirement
## 1116 RiverElements
## 1117 River Iron
## 1118 SampleFG
## 1119 Sandwich Ants
## 1120 SAT scores and GPA
## 1121 Sea Slugs
## 1122 Sparrows
## 1123 Species Area
## 1124 Speed
## 1125 Swahili
## 1126 Text Prices
## 1127 Three Cars
## 1128 Tip Joke
## 1129 Titanic
## 1130 TMS
## 1131 LaDainian Tomlinson Rushing Yards
## 1132 TwinsLungs
## 1133 USstamps
## 1134 Volts
## 1135 WalkingBabies
## 1136 WeightLossIncentive
## 1137 WeightLossIncentive4
## 1138 WeightLossIncentive7
## 1139 WordMemory
## 1140 YouthRisk2007
## 1141 YouthRisk2009
## 1142 Bladder Cancer Recurrences
## 1143 NCCTG Lung Cancer Data
## 1144 Chronic Granulotomous Disease data
## 1145 Chemotherapy for Stage B/C colon cancer
## 1146 Assay of serum free light chain for 7874 subjects.
## 1147 Generator fans
## 1148 Stanford Heart Transplant data
## 1149 Kidney catheter data
## 1150 Acute Myelogenous Leukemia survival data
## 1151 Data from the 1972-78 GSS data used by Logan
## 1152 NCCTG Lung Cancer Data
## 1153 Monoclonal gammapothy data
## 1154 Monoclonal gammapothy data
## 1155 Acute myeloid leukemia
## 1156 Data from the National Wilm's Tumor Study
## 1157 Ovarian Cancer Survival Data
## 1158 Mayo Clinic Primary Biliary Cirrhosis Data
## 1159 Rat treatment data from Mantel et al
## 1160 Diabetic Retinopathy
## 1161 rhDNASE data set
## 1162 Data from a soldering experiment
## 1163 More Stanford Heart Transplant data
## 1164 Tobin's Tobit data
## 1165 Liver transplant waiting list
## 1166 Projected US Population
## 1167 Veterans' Administration Lung Cancer study
## 1168 Liver related laboratory data
## 1169 Rain, wavesurge, portpirie and nidd datasets.
## 1170 Rain, wavesurge, portpirie and nidd datasets.
## 1171 Rain, wavesurge, portpirie and nidd datasets.
## 1172 Air pollution data, separately for summer and winter months
## 1173 Rain, wavesurge, portpirie and nidd datasets.
## 1174 Air pollution data, separately for summer and winter months
## 1175 Arthritis Treatment Data
## 1176 Baseball Data
## 1177 Broken Marriage Data
## 1178 Ergebnisse der Fussball-Bundesliga
## 1179 Votes in German Bundestag Election 2005
## 1180 Butterfly Species in Malaya
## 1181 Breathlessness and Wheeze in Coal Miners
## 1182 Danish Welfare Study Data
## 1183 Employment Status
## 1184 'May' in Federalist Papers
## 1185 Hitters Data
## 1186 Death by Horse Kicks
## 1187 Hospital data
## 1188 Job Satisfaction Data
## 1189 Opinions About Joint Sports
## 1190 Lifeboats on the Titanic
## 1191 Diagnosis of Multiple Sclerosis
## 1192 Non-Response Survey Data
## 1193 Ovary Cancer Data
## 1194 Pre-marital Sex and Divorce
## 1195 Corporal Punishment Data
## 1196 Repeat Victimization Data
## 1197 Rochdale Data
## 1198 Families in Saxony
## 1199 Sex is Fun
## 1200 Space Shuttle O-ring Failures
## 1201 Suicide Rates in Germany
## 1202 Truck Accidents Data
## 1203 UK Soccer Scores
## 1204 Visual Acuity in Left and Right Eyes
## 1205 Von Bortkiewicz Horse Kicks Data
## 1206 Weldon's Dice Data
## 1207 Women in Queues
## 1208 U.S. Presidential Approval Data
## 1209 Sample data for bivariate probit regression
## 1210 Cigarette Consumption Panel Data
## 1211 Coalition Dissolution in Parliamentary Democracies
## 1212 Coalition Dissolution in Parliamentary Democracies, Modified Version
## 1213 Simulation Data for Ecological Inference
## 1214 Freedom of Speech Data
## 1215 Freedom of Speech Data
## 1216 Simulated Example of Schoolchildren Friendship Network
## 1217 Simulation Data for model Seemingly Unrelated Regression (sur) that corresponds to method SUR of systemfit
## 1218 Social Security Expenditure Data
## 1219 Sample Data on Home Runs Hit By Mark McGwire and Sammy Sosa in 1998.
## 1220 Individual Preferences Over Immigration Policy
## 1221 Individual Preferences Over Immigration Policy
## 1222 Individual Preferences Over Immigration Policy
## 1223 Individual Preferences Over Immigration Policy
## 1224 Individual Preferences Over Immigration Policy
## 1225 Individual Preferences Over Immigration Policy
## 1226 Simulation Data for model Two-Stage Least Square (twosls) that corresponds to method 2SLS of systemfit
## 1227 Simulation Data for model Three-Stage Least Square (threesls) that corresponds to method 3SLS of systemfit
## 1228 Macroeconomic Data
## 1229 Table of links for Zelig
## 1230 Voting Data from the 1988 Mexican Presidental Election
## 1231 Militarized Interstate Disputes
## 1232 The Discretized Painter's Data of de Piles
## 1233 Political Economic Risk Data from 62 Countries in 1987
## 1234 Multilateral Economic Sanctions
## 1235 Left Party Seat Share in 11 OECD Countries
## 1236 Simulated Example of Social Network Data
## 1237 U.S. Supreme Court Vote Matrix
## 1238 Swiss Fertility and Socioeconomic Indicators (1888) Data
## 1239 Tobin's Tobit Data
## 1240 Turnout Data Set from the National Election Survey
## 1241 Sample Turnout and Demographic Data from the 2000 Current Population Survey
## 1242 1932 Weimar election data
## 1243 Table of links for Zelig
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## CSV
## 1 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/acme.csv
## 2 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aids.csv
## 3 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aircondit.csv
## 4 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aircondit7.csv
## 5 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/amis.csv
## 6 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aml.csv
## 7 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/beaver.csv
## 8 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/bigcity.csv
## 9 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/brambles.csv
## 10 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/breslow.csv
## 11 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/calcium.csv
## 12 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/cane.csv
## 13 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/capability.csv
## 14 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/catsM.csv
## 15 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/cav.csv
## 16 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/cd4.csv
## 17 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/cd4.nested.csv
## 18 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/channing.csv
## 19 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/city.csv
## 20 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/claridge.csv
## 21 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/cloth.csv
## 22 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/co.transfer.csv
## 23 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/coal.csv
## 24 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/darwin.csv
## 25 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/dogs.csv
## 26 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/downs.bc.csv
## 27 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/ducks.csv
## 28 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/fir.csv
## 29 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/frets.csv
## 30 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/grav.csv
## 31 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/gravity.csv
## 32 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/hirose.csv
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