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
#> # … with 332 more rows

scale <- apply(completePenguins[,-1], 2, sd)*4

langevitour(
    completePenguins[,-1], completePenguins$species, 
    scale=scale, pointSize=2, elementId="myWidget")

Drag labels onto the plot.

Turn on a guide.

Experiment with “damping” and “heat”.

When only three measurements are shown, your eyes will interpret the display as 3D. Hide measurements by unchecking the checkbox on their label.

Further examples

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:

Usage example

Further examples