Importar Datos

A continuacion se va a importar los datos obtenidos del recorrido del sonido realizado durante el trayecto hacia el norte, como se puede observar el mapa.

library(readr)
bioestadistica_aircasting <- read_csv("c:/Users/lucia/OneDrive/Escritorio/Documentos/bioestadistica/bioestadistica aircasting.csv",skip=8)
## Rows: 1083 Columns: 6
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr  (1): Session_Name
## dbl  (4): ObjectID, Latitude, Longitude, 1:Measurement_Value
## dttm (1): Timestamp
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
require(table1)
## Cargando paquete requerido: table1
## Warning: package 'table1' was built under R version 4.4.3
## 
## Adjuntando el paquete: 'table1'
## 
## The following objects are masked from 'package:base':
## 
##     units, units<-
bioestadistica_aircasting$`1:Measurement_Value`
##    [1] 69.40115 76.38187 75.23678 76.35386 75.11771 75.56987 72.70688 79.59347
##    [9] 75.76765 78.73581 82.78809 79.72744 82.79859 78.86942 76.88437 82.08362
##   [17] 86.79634 82.16182 82.66219 80.47337 76.55779 73.90027 75.81969 80.35713
##   [25] 81.91904 76.95980 80.16604 77.81785 78.11520 78.21616 75.17274 78.10255
##   [33] 82.01680 77.21628 76.10660 75.65760 80.40311 73.68559 80.34882 80.36304
##   [41] 81.46596 78.74989 79.15708 80.38077 76.68367 77.21221 78.61409 80.35447
##   [49] 76.53146 74.66515 75.64643 76.51238 76.59360 77.59354 80.07095 76.23674
##   [57] 76.86043 78.13901 79.98485 79.11128 77.10532 76.36665 77.02271 78.70734
##   [65] 79.54868 75.72846 77.84322 76.35931 77.27113 77.96606 77.72134 78.93532
##   [73] 75.64889 75.86878 76.45190 76.67336 78.76978 76.65981 75.50818 75.06342
##   [81] 74.00178 76.60766 77.70832 76.36113 80.77702 75.24744 77.05849 78.42820
##   [89] 76.59091 75.88683 80.82864 78.87561 78.17288 81.36695 77.48697 78.44956
##   [97] 76.90283 77.65460 77.11566 76.36050 76.51093 76.04910 76.94822 82.54095
##  [105] 78.59830 75.82144 76.92047 75.98521 82.42806 78.61207 84.12021 81.75432
##  [113] 84.11062 82.56514 83.99313 83.93356 78.32188 81.25903 79.93806 82.88480
##  [121] 79.13787 81.48718 78.77940 79.73598 80.42850 80.35618 77.10899 77.78988
##  [129] 78.36882 79.26266 80.65138 80.04744 77.15414 81.64120 78.83250 81.06410
##  [137] 79.80376 84.32491 80.53329 81.93870 82.46420 85.17680 77.58189 81.50350
##  [145] 80.98581 77.49007 77.85535 78.35841 80.06589 80.27935 79.41632 81.75948
##  [153] 81.00729 76.91868 81.46345 77.35653 80.00187 81.12200 77.50198 81.19384
##  [161] 78.45700 83.00246 78.19978 81.32980 80.50485 79.22523 77.93008 79.78577
##  [169] 76.89488 78.62664 77.80026 79.57522 78.21901 80.93917 81.35577 83.93717
##  [177] 81.99985 78.52080 77.40822 81.21040 80.03172 82.34138 74.59552 79.13617
##  [185] 78.27584 78.08394 80.23367 75.65653 75.88505 77.86384 76.44910 79.08784
##  [193] 77.08425 80.69240 81.67478 81.10892 78.62052 79.61977 84.97940 78.88990
##  [201] 81.24518 83.08661 81.33841 81.38118 81.17999 81.18685 84.49696 83.95682
##  [209] 84.66343 82.16475 83.46400 83.82907 81.98718 81.24703 82.66458 82.28595
##  [217] 84.59927 83.20296 78.37704 78.43245 79.11020 79.04346 78.69109 76.88867
##  [225] 77.85712 75.50226 76.14864 75.88949 76.10307 78.92193 78.32411 82.43197
##  [233] 78.64720 83.64208 84.68844 83.70169 73.54996 73.74342 76.13888 74.74277
##  [241] 73.78799 74.35619 75.15361 74.31732 77.53652 77.47156 74.72956 81.27316
##  [249] 78.95211 78.31280 82.24978 83.52217 82.36136 78.09542 82.17411 82.35106
##  [257] 82.68920 80.19596 83.21024 80.42191 80.67590 81.02872 84.36804 80.27145
##  [265] 83.64973 80.52414 81.90266 83.35302 82.34396 80.26851 81.88190 81.11842
##  [273] 82.31307 81.12546 81.06866 79.29209 79.85241 80.96122 80.28920 78.70370
##  [281] 80.30629 79.96050 81.27562 78.66694 81.81258 78.12647 80.47367 82.00802
##  [289] 77.20161 79.88903 81.86774 79.49676 81.72813 81.58183 76.62347 78.07259
##  [297] 78.88764 78.49732 80.60287 77.68861 79.70297 81.62154 78.81222 81.75413
##  [305] 79.64918 82.01449 80.56072 83.93650 82.26628 81.54208 80.40041 78.95699
##  [313] 83.40724 80.07346 79.62515 82.46461 83.38319 84.55064 82.94446 83.19447
##  [321] 79.28363 81.49669 82.42198 82.57777 78.39986 83.11388 79.44213 79.02946
##  [329] 78.53303 79.78704 79.87272 79.55547 83.60719 77.41419 78.48307 79.45093
##  [337] 81.41256 80.91707 80.36691 78.37354 78.10586 82.82890 84.32519 82.67092
##  [345] 80.98877 81.50234 79.33720 79.38476 76.97175 79.65068 79.48540 81.64375
##  [353] 82.98357 81.80797 83.37491 82.36897 83.22238 81.61380 79.76710 78.05468
##  [361] 80.34252 81.34765 80.73180 81.49024 82.13966 76.89969 78.32101 79.19402
##  [369] 81.24766 80.42702 79.83676 81.59512 77.08562 77.83109 78.52827 83.47990
##  [377] 82.85304 82.42767 79.06111 82.94678 78.54967 81.85619 79.46236 83.98621
##  [385] 80.39140 81.54790 79.01946 79.06772 77.97517 81.67069 79.18900 78.31639
##  [393] 79.76360 78.67956 81.50875 79.96232 84.60587 81.75721 81.41710 81.33131
##  [401] 83.87020 77.24081 76.24496 78.24243 77.68356 77.86851 79.73737 79.36961
##  [409] 79.82448 83.62888 79.57779 79.17615 82.23962 79.86604 78.87417 84.03233
##  [417] 72.80519 80.45608 80.41370 81.38474 83.29379 81.19283 80.12315 81.73543
##  [425] 83.49120 78.88486 77.65904 79.64243 82.68893 80.89253 76.51730 77.84110
##  [433] 77.76514 81.58415 81.45136 77.26561 82.38500 80.23007 75.20425 75.12259
##  [441] 72.87021 76.82113 74.39027 74.41537 78.26219 77.38374 78.70010 76.14766
##  [449] 80.58191 80.60101 79.12898 82.53427 77.77343 80.42958 79.16598 81.08120
##  [457] 83.73025 80.90355 82.41569 83.87735 82.01161 80.66643 82.84878 83.98726
##  [465] 83.43716 85.48284 80.83750 84.31512 87.82918 80.92723 80.53530 78.72257
##  [473] 80.62322 84.48214 79.15374 77.57297 80.24617 79.56552 79.25822 81.06735
##  [481] 81.05601 77.38290 82.08991 77.58631 78.47141 82.09444 80.50409 78.79686
##  [489] 76.44804 82.54629 81.65630 81.81658 78.27638 80.13768 81.40682 80.72543
##  [497] 77.89994 80.20528 80.37251 79.43692 80.40631 81.54837 80.01986 79.07313
##  [505] 78.16306 80.07278 84.24954 79.43509 81.52455 82.26067 83.01490 81.86974
##  [513] 75.72098 72.40032 79.40591 81.69383 80.62738 82.53996 80.65574 77.66918
##  [521] 78.77756 81.02008 81.93556 78.78836 79.99749 77.22861 78.25198 77.36023
##  [529] 81.88145 82.35463 81.42960 78.53370 80.35539 79.35500 77.99784 78.76422
##  [537] 81.79414 79.34279 81.33018 80.84401 78.67976 71.55110 72.70593 73.41204
##  [545] 73.48443 76.24674 73.52707 77.97124 76.03976 75.64698 81.28248 78.22939
##  [553] 80.91930 78.23057 78.13840 80.95367 84.15594 78.36068 79.97386 79.83566
##  [561] 82.59141 80.19395 84.67252 87.72681 83.58474 79.31172 81.33639 80.81651
##  [569] 78.68688 82.59927 78.90993 80.63232 76.96500 80.76132 80.40768 80.00677
##  [577] 81.88089 81.48166 80.31261 77.49695 79.39190 83.68095 78.25422 83.41921
##  [585] 79.84266 86.02304 76.67344 78.48274 77.62612 80.12934 78.45626 81.46751
##  [593] 77.38156 80.97343 80.01405 82.07030 79.48278 82.89192 78.50445 83.14780
##  [601] 81.47800 78.33072 79.63723 80.25256 75.45232 79.39599 70.34581 79.31702
##  [609] 81.71706 82.16393 81.31230 82.58235 72.15384 74.12633 72.80454 74.89741
##  [617] 74.66982 77.57071 78.16492 79.64520 78.64424 78.78775 81.03761 80.97171
##  [625] 80.45012 79.77435 80.73251 81.04247 80.07954 81.88332 78.81234 79.26463
##  [633] 82.26236 81.97878 81.10599 79.36345 81.46085 79.13841 84.45235 81.58015
##  [641] 83.39780 77.29314 80.04672 81.07817 84.54672 85.01312 83.86371 82.23419
##  [649] 86.39728 81.61560 83.43359 83.03088 80.56551 78.72492 78.45118 81.82145
##  [657] 79.65638 76.88773 78.27639 79.54027 80.03271 80.86883 79.74682 72.32626
##  [665] 74.84243 73.98251 76.38005 73.25156 77.77426 78.63728 79.54694 77.55793
##  [673] 82.29213 76.30347 78.41782 78.13959 79.68584 81.88576 78.79088 87.56350
##  [681] 82.44867 84.20117 82.22400 82.83164 76.47926 72.27361 78.75540 78.94865
##  [689] 80.32362 77.91525 77.79127 76.06162 77.58738 82.48596 79.59740 77.66731
##  [697] 77.54684 77.65902 80.15331 81.55141 80.76678 81.03459 80.60540 77.85760
##  [705] 78.95316 82.70438 77.85721 79.19417 83.68890 80.52268 81.56941 79.44022
##  [713] 85.52415 79.89719 83.04508 87.13319 83.17465 80.62569 83.33458 83.13844
##  [721] 85.74267 80.00620 81.81693 81.09256 81.90838 81.74470 83.18202 83.04479
##  [729] 80.63310 82.13016 84.32791 81.62545 78.47669 82.24583 81.61286 83.75969
##  [737] 79.14996 78.50948 81.89730 78.08425 79.89271 77.93174 80.49794 81.61719
##  [745] 78.01846 80.64899 81.18298 79.94435 77.90918 79.10952 78.60462 80.27305
##  [753] 80.48214 80.42984 79.33778 82.70778 80.63268 79.31728 82.47520 78.45265
##  [761] 81.00967 80.20885 81.04389 79.31750 78.37663 80.84207 81.92069 80.27232
##  [769] 79.10681 78.82530 77.12820 76.77515 81.90066 81.12251 79.03033 78.60706
##  [777] 77.74005 75.15071 76.32606 77.19323 77.36169 74.31930 78.15906 80.09572
##  [785] 77.57188 81.98157 78.35133 78.52500 81.60267 83.31917 81.04856 84.91653
##  [793] 81.54178 80.36880 79.52781 78.62781 82.48531 79.42834 82.47123 76.13753
##  [801] 84.95083 81.60618 82.68715 78.10736 80.95374 81.68611 79.83516 80.89098
##  [809] 78.34286 79.67304 78.48348 78.73954 83.04234 85.72971 83.19536 82.53108
##  [817] 86.74645 83.77672 78.37324 82.12430 81.37131 79.71175 80.09837 80.96543
##  [825] 78.85210 77.80052 79.17879 80.35854 77.19173 80.96773 83.05331 79.46553
##  [833] 81.56033 81.51955 79.59718 76.83078 77.63168 80.97083 80.96860 80.48129
##  [841] 79.01769 75.05463 77.97885 83.77848 79.73460 80.24068 80.62441 79.25618
##  [849] 82.29305 77.03799 82.17839 79.71973 83.31625 82.51097 80.89819 79.41698
##  [857] 81.80726 80.08476 78.67395 78.36598 79.78690 79.88851 81.63992 81.12642
##  [865] 79.30306 80.20621 79.61447 82.81014 78.11718 83.31582 77.43438 77.03535
##  [873] 77.37975 80.49651 80.49028 79.30090 81.48998 78.45026 81.98078 81.44122
##  [881] 79.98106 74.27792 77.43260 73.70512 77.69180 79.30208 83.15723 83.16946
##  [889] 82.02402 81.71697 84.52642 80.49588 76.04486 72.40569 76.14288 72.72521
##  [897] 80.18301 74.68770 78.71002 78.09454 78.02231 78.91578 81.48249 79.52152
##  [905] 83.70944 78.15925 83.35183 83.40163 79.49815 80.18275 78.58815 83.01635
##  [913] 82.71812 83.30983 84.98898 80.56598 81.44766 79.16933 84.30035 82.45237
##  [921] 81.30234 81.73997 84.07523 80.35890 77.70628 83.79857 81.94513 80.34511
##  [929] 79.58197 78.88369 78.28989 78.63766 82.64052 79.66405 78.73122 78.78747
##  [937] 83.28916 78.94473 82.51766 82.75027 79.07080 80.23841 82.57215 81.16318
##  [945] 82.53477 85.66486 81.80243 79.06352 79.83495 77.43563 81.17872 79.59788
##  [953] 83.35682 83.48431 79.87367 80.55316 81.27393 84.24528 82.04447 80.20344
##  [961] 79.24169 80.08156 78.52423 82.03490 79.02927 80.96561 81.74490 83.75036
##  [969] 80.20457 81.16042 81.29617 79.41159 79.78773 80.18564 83.82732 80.55774
##  [977] 78.12479 75.20940 77.20506 83.38353 84.90604 80.62135 74.75246 79.90595
##  [985] 74.31986 75.02015 80.84270 79.16312 77.05781 79.72092 80.10262 78.70449
##  [993] 79.65781 79.32181 78.75293 79.67831 79.43248 82.25261 88.13853 83.98325
## [1001] 83.04562 81.91067 84.94218 81.60429 83.33458 83.63419 81.88362 87.02052
## [1009] 79.62019 79.69252 79.19695 79.30664 78.38158 81.09606 77.60672 79.22469
## [1017] 76.70392 78.08754 81.73173 83.97646 80.94029 80.33746 81.78533 79.57850
## [1025] 80.92928 83.24823 82.79758 82.70681 79.38538 77.53314 79.22062 79.88689
## [1033] 81.21265 80.05985 80.61392 80.50451 79.81300 85.52003 81.52810 80.52708
## [1041] 81.45543 80.18274 80.76189 79.00778 79.02729 78.66879 82.15874 75.67217
## [1049] 73.09269 74.17251 75.31654 74.22004 73.56879 75.16740 77.84251 78.72331
## [1057] 79.16621 80.60585 78.46134 80.13351 81.67050 78.60391 82.29491 80.47604
## [1065] 79.73811 76.98300 81.57678 84.89531 82.06526 80.46859 79.12231 80.67261
## [1073] 78.31159 82.27097 78.85513 83.99677 81.12441 83.30200 80.65970 80.69543
## [1081] 80.87402 77.31281 80.68448
table1(~., data = bioestadistica_aircasting[,4:6])
Overall
(N=1083)
Latitude
Mean (SD) 3.38 (0.00984)
Median [Min, Max] 3.37 [3.37, 3.40]
Longitude
Mean (SD) -76.5 (0.00688)
Median [Min, Max] -76.5 [-76.5, -76.5]
1:Measurement_Value
Mean (SD) 79.9 (2.68)
Median [Min, Max] 80.0 [69.4, 88.1] 
require(leaflet)
## Cargando paquete requerido: leaflet
## Warning: package 'leaflet' was built under R version 4.4.3
leaflet()%>% addTiles()%>%
  addCircleMarkers(lng = bioestadistica_aircasting$Longitude,lat = bioestadistica_aircasting$Latitude)

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  dim(bioestadistica_aircasting)[1]/2
## [1] 541.5
jornada=c(rep("dia",541),rep("noche",542))
bioestadistica_aircasting$jornada=jornada
library(table1)
table1(~`1:Measurement_Value`,data=bioestadistica_aircasting)
Overall
(N=1083)
1:Measurement_Value
Mean (SD) 79.9 (2.68)
Median [Min, Max] 80.0 [69.4, 88.1] 
table1(~ `1:Measurement_Value` | jornada, data = bioestadistica_aircasting)
dia
(N=541)		 noche
(N=542)		 Overall
(N=1083)
1:Measurement_Value
Mean (SD) 79.7 (2.61) 80.1 (2.73) 79.9 (2.68)
Median [Min, Max] 79.8 [69.4, 87.8] 80.2 [70.3, 88.1] 80.0 [69.4, 88.1] 
require(ggplot2)
## Cargando paquete requerido: ggplot2
## Warning: package 'ggplot2' was built under R version 4.4.3
ggplot(data = bioestadistica_aircasting, aes(x =`1:Measurement_Value`))+geom_histogram()
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

ggplot(bioestadistica_aircasting,aes(x=jornada,y=`1:Measurement_Value`,fill=jornada))+geom_boxplot()

Se muestran diferentes graficas con respecto al recorrido hacia el norte donde se detectaron diferente frecuencias de sonido.