Description Usage Arguments Value See Also Examples
Plot density estimates for each continuous feature
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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
geom_density plot_histogram
1 2 3 4 5 6 7 8 9 10 11 | # 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)
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