High-Performance Open-Source Archive
As an example we will use measurements of penguins made at Palmer Station, Antarctica.
Since the measurements are in different units, we supply an appropriate scaling.
library(langevitour)
library(palmerpenguins)
completePenguins <- na.omit(penguins[,c(1,3,4,5,6)])
completePenguins
#> # A tibble: 342 × 5
#> species bill_length_mm bill_depth_mm flipper_length_mm body_mass_g
#> <fct> <dbl> <dbl> <int> <int>
#> 1 Adelie 39.1 18.7 181 3750
#> 2 Adelie 39.5 17.4 186 3800
#> 3 Adelie 40.3 18 195 3250
#> 4 Adelie 36.7 19.3 193 3450
#> 5 Adelie 39.3 20.6 190 3650
#> 6 Adelie 38.9 17.8 181 3625
#> 7 Adelie 39.2 19.6 195 4675
#> 8 Adelie 34.1 18.1 193 3475
#> 9 Adelie 42 20.2 190 4250
#> 10 Adelie 37.8 17.1 186 3300
#> # ℹ 332 more rows
scale <- apply(completePenguins[,-1], 2, sd)*4
langevitour(
completePenguins[,-1], completePenguins$species,
scale=scale, pointSize=2, elementId="myWidget")Things to try:
Some further examples have been omitted from the CRAN package due to their large size and problematic dependencies. They can be viewed on the langevitour website:
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