View source: R/plot_histogram.r
plot_histogram | R Documentation |
Plot histogram for each continuous feature
plot_histogram( data, binary_as_factor = TRUE, geom_histogram_args = list(bins = 30L), 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_histogram_args |
a list of other arguments to geom_histogram |
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
geom_histogram plot_density
# Plot iris data plot_histogram(iris, ncol = 2L) # Plot skewed data on log scale set.seed(1) skew <- data.frame(replicate(4L, rbeta(1000, 1, 5000))) plot_histogram(skew, ncol = 2L) plot_histogram(skew, scale_x = "log10", ncol = 2L)
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