This function creates boxplot for each continuous feature based on a selected feature.
plot_boxplot( data, by, binary_as_factor = TRUE, geom_boxplot_args = list(), scale_y = "continuous", title = NULL, ggtheme = theme_gray(), theme_config = list(), nrow = 3L, ncol = 4L, parallel = FALSE )
data | input data |
---|---|
by | feature name to be broken down by. If selecting a continuous feature, boxplot will be grouped by 5 equal ranges, otherwise, all existing categories for a discrete feature. |
binary_as_factor | treat binary as categorical? Default is |
geom_boxplot_args | a list of other arguments to geom_boxplot |
scale_y | scale of original y axis (before |
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 |
ncol | number of columns per page |
parallel | enable parallel? Default is |
invisibly return the named list of ggplot objects
plot_boxplot(iris, by = "Species", ncol = 2L)# Plot skewed data on log scale set.seed(1) skew <- data.frame(y = rep(c("a", "b"), 500), replicate(4L, rbeta(1000, 1, 5000))) plot_boxplot(skew, by = "y", ncol = 2L)plot_boxplot(skew, by = "y", scale_y = "log10", ncol = 2L)