plot_hist: plot histogram of data

In mathosi/jj: Just Joise

plot histogram of data

Description

plot histogram of data

Usage

jj_plot_hist(
  data,
  feature = NULL,
  fill = NULL,
  thres = NULL,
  colour = NULL,
  group = NULL,
  title = "",
  nbins = 50,
  size = 1,
  exclude_zeros = FALSE,
  include_summary = c("n", ">=", "<", ">0<"),
  ...
)

Arguments

feature	vector with values to plot
fill	optional value threshold, for which the number of observations are counted above and below
thres	Value threshold used to fill the histogram. Also used to count the number of observations above and below in include_summary
colour	optional title
group	xlab text
title	colours for bars above and below threshold
nbins	NULL (do not plot numbers) or vector containing any combination of 1 (observations above threshold), 2 (observations below threshold) and 3 (observations below threshold that are not 0)
size	border size for the histogram stacks
exclude_zeros	if TRUE, omit all 0 values from the plot (useful e.g. to plot sparse gene expression)
include_summary	Above the plot, include the number of observations within some ranges. Vector with the possibilties c('n','>=', '<', '>0<'), where n is the total number of observations, >= and < are those above and below the threshold and >0< are those greater than zero, but below the threshold

Examples

df = data.frame(letters = sample(letters[1:4], 100, replace = T),
                groups = paste0('G_', sample(1:2, 100, replace = T)),
                treatment = factor(sample(c('no','yes'), 100, replace = T, prob = c(0.9,0.1)), levels=c('yes','no')),
                values = sample(c(rep(0, 20), rnorm(80, 4, 2))))
jj_plot_hist(df$values)
jj_plot_hist(df, feature = 'values', group = 'groups')
jj_plot_hist(df, feature = 'values', group = 'groups', fill = 'letters', nbins = 30)
jj_plot_hist(df, feature = 'values', colour='treatment', fill = 'letters', title='my title', group = 'groups', size = 1.3, binwidth = 0.4) +
  scale_fill_manual(values = jj_get_jj_colours(df$letters)) + scale_colour_manual(values = c(yes='black', no = "white"))
jj_plot_hist(df, feature = 'values', thres = 4)
jj_plot_hist(df, feature = 'values', thres = 4, exclude_zeros = T, include_summary = c('<', '>='))

mathosi/jj documentation built on Feb. 25, 2024, 2:29 p.m.