GGpairs supports mapping color to categorical variables but it seems not for continuous variables. This could make the visualization much more powerful to help expose 3-dimensional correlations (or lack thereof).
Is it possible to allow this for panels where it would be sensible (i.e. scatter plot) and leave other panels black?
library(GGally)
# works fine for categorical variables
ggpairs(iris, columns = 1:4, aes(color = Species))
# fails on continuous variables
ggpairs(iris, columns = 1:4, aes(color = Sepal.Length))
#> Warning: The following aesthetics were dropped during statistical transformation: fill
#> ℹ This can happen when ggplot fails to infer the correct grouping structure in
#> the data.
#> ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
#> variable into a factor?
#> Error in ggally_statistic(data = data, mapping = mapping, na.rm = na.rm, : `mapping` color column must be categorical, not numeric
GGpairs supports mapping color to categorical variables but it seems not for continuous variables. This could make the visualization much more powerful to help expose 3-dimensional correlations (or lack thereof).
Is it possible to allow this for panels where it would be sensible (i.e. scatter plot) and leave other panels black?
Created on 2024-08-06 with reprex v2.0.2