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: