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Customising colour palettes in visdat

Source: vignettes/customising-colour-palettes.Rmd
customising-colour-palettes.Rmd

How to provide your own colour palette?

This vignette shoes you how to provide your own colour palette with visdat.

A visdat plot is a ggplot object - so we can use the tools from ggplot to tinker with colours. In this case, that is the scale_fill_manual function.

A “standard” visdat plot might be like so:

vis_dat(typical_data)
#> Error in get(paste0(generic, ".", class), envir = get_method_env()) : 
#>   object 'type_sum.accel' not found

You can name the colours yourself like so (after first loading the ggplot package.

library(ggplot2)
vis_dat(typical_data) +
  scale_fill_manual(
    values = c(
      "character" = "red",
      "factor" = "blue",
      "logical" = "green",
      "numeric" = "purple",
      "NA" = "gray"
  ))

This is a pretty, uh, “popping” set of colours? You can also use some hex colours instead.

Say, taken from palette():

palette()
#> [1] "black"   "#DF536B" "#61D04F" "#2297E6" "#28E2E5" "#CD0BBC" "#F5C710"
#> [8] "gray62"
vis_dat(typical_data) +
  scale_fill_manual(
    values = c(
      "character" = "#61D04F",
      "factor" = "#2297E6",
      "logical" = "#28E2E5",
      "numeric" = "#CD0BBC",
      "NA" = "#F5C710"
  ))

How can we get nicer ones?

Well, you can use any of ggplot’s scale_fill_* functions from inside ggplot2

For example:

vis_dat(typical_data) +
  scale_fill_brewer()
#> Warning: Removed 2000 rows containing missing values or values outside the scale range
#> (`geom_raster()`).

vis_dat(typical_data) +
  scale_fill_viridis_d()
#> Warning: Removed 2000 rows containing missing values or values outside the scale range
#> (`geom_raster()`).

Happy colour palette exploring! You might want to take a look at some of the following colour palettes from other packages: