vignettes/download.Rmd
download.Rmdlibrary(palmerpenguins)
You can also get this penguin data directly from the Environmental Data Initiative (EDI) using the R code below. Thanks to Julien Brun for the reminder and code below to access & combine them (will get you same data as penguins_raw):
# Adelie penguin data from: https://doi.org/10.6073/pasta/abc50eed9138b75f54eaada0841b9b86 uri_adelie <- "https://portal.edirepository.org/nis/dataviewer?packageid=knb-lter-pal.219.3&entityid=002f3893385f710df69eeebe893144ff" # Gentoo penguin data from: https://doi.org/10.6073/pasta/2b1cff60f81640f182433d23e68541ce uri_gentoo <- "https://portal.edirepository.org/nis/dataviewer?packageid=knb-lter-pal.220.3&entityid=e03b43c924f226486f2f0ab6709d2381" # Chinstrap penguin data from: https://doi.org/10.6073/pasta/409c808f8fc9899d02401bdb04580af7 uri_chinstrap <- "https://portal.edirepository.org/nis/dataviewer?packageid=knb-lter-pal.221.2&entityid=fe853aa8f7a59aa84cdd3197619ef462" # Combining the URIs uris <- c(uri_adelie, uri_gentoo, uri_chinstrap) # Downloading and importing data library(purrr) library(readr) penguins_lter <- map_dfr(uris, read_csv)
Compared to ?penguins_raw:
head(penguins_raw) #> # A tibble: 6 x 17 #> studyName `Sample Number` Species Region Island Stage `Individual ID` #> <chr> <dbl> <chr> <chr> <chr> <chr> <chr> #> 1 PAL0708 1 Adelie… Anvers Torge… Adul… N1A1 #> 2 PAL0708 2 Adelie… Anvers Torge… Adul… N1A2 #> 3 PAL0708 3 Adelie… Anvers Torge… Adul… N2A1 #> 4 PAL0708 4 Adelie… Anvers Torge… Adul… N2A2 #> 5 PAL0708 5 Adelie… Anvers Torge… Adul… N3A1 #> 6 PAL0708 6 Adelie… Anvers Torge… Adul… N3A2 #> # … with 10 more variables: `Clutch Completion` <chr>, `Date Egg` <date>, #> # `Culmen Length (mm)` <dbl>, `Culmen Depth (mm)` <dbl>, `Flipper Length #> # (mm)` <dbl>, `Body Mass (g)` <dbl>, Sex <chr>, `Delta 15 N (o/oo)` <dbl>, #> # `Delta 13 C (o/oo)` <dbl>, Comments <chr>
But if that looks too messy for you, ?penguins is simpler and tidier:
head(penguins) #> # A tibble: 6 x 8 #> species island bill_length_mm bill_depth_mm flipper_length_… body_mass_g sex #> <fct> <fct> <dbl> <dbl> <int> <int> <fct> #> 1 Adelie Torge… 39.1 18.7 181 3750 male #> 2 Adelie Torge… 39.5 17.4 186 3800 fema… #> 3 Adelie Torge… 40.3 18 195 3250 fema… #> 4 Adelie Torge… NA NA NA NA <NA> #> 5 Adelie Torge… 36.7 19.3 193 3450 fema… #> 6 Adelie Torge… 39.3 20.6 190 3650 male #> # … with 1 more variable: year <int>