Plot density estimates for each continuous feature
plot_density( data, binary_as_factor = TRUE, geom_density_args = list(), scale_x = "continuous", title = NULL, ggtheme = theme_gray(), theme_config = list(), nrow = 4L, ncol = 4L, parallel = FALSE )
data | input data |
---|---|
binary_as_factor | treat binary as categorical? Default is |
geom_density_args | a list of other arguments to geom_density |
scale_x | scale of x axis. See scale_x_continuous for all options. Default is |
title | plot title |
ggtheme | complete ggplot2 themes. The default is theme_gray. |
theme_config | a list of configurations to be passed to theme. |
nrow | number of rows per page. Default is 4. |
ncol | number of columns per page. Default is 4. |
parallel | enable parallel? Default is |
invisibly return the named list of ggplot objects
# Plot iris data plot_density(iris, ncol = 2L)# Add color to density area plot_density(iris, geom_density_args = list("fill" = "black", "alpha" = 0.6), ncol = 2L)# Plot skewed data on log scale set.seed(1) skew <- data.frame(replicate(4L, rbeta(1000, 1, 5000))) plot_density(skew, ncol = 2L)plot_density(skew, scale_x = "log10", ncol = 2L)