This function takes a data table, a quantitative variable (ycol) and a grouping variable (group), if available, and plots a histogram graph using geom_histogram).

plot_histogram(
data,
ycol,
group,
facet,
BinSize = 30,
c_alpha = 0.8,
TextXAngle = 0,
facet_scales = "fixed",
fontsize = 20,
linethick,
alpha,
ColPal = c("okabe_ito", "all_grafify", "bright", "contrast", "dark", "fishy", "kelly",
"light", "muted", "pale", "r4", "safe", "vibrant"),
ColSeq = TRUE,
ColRev = FALSE,
...
)

## Arguments

data

a data table e.g. data.frame or tibble.

ycol

name of the column containing the quantitative variable whose histogram distribution is to be plotted.

group

name of the column containing a categorical grouping variable.

facet

add another variable from the data table to create faceted graphs using ggplot2facet_wrap.

BinSize

number of distinct bins to use on X-axis, default set to 30.

c_alpha

fractional opacity of colour filled within histograms, default set to 0.8 (i.e. 80% opacity).

TextXAngle

orientation of text on X-axis; default 0 degrees. Change to 45 or 90 to remove overlapping text.

facet_scales

whether or not to fix scales on X & Y axes for all facet facet graphs. Can be fixed (default), free, free_y or free_x (for Y and X axis one at a time, respectively).

fontsize

parameter of base_size of fonts in theme_classic, default set to size 20.

linethick

thickness of symbol border, default set to fontsize/22.

alpha

deprecated old argument for c_alpha; retained for backward compatibility.

ColPal

grafify colour palette to apply, default "okabe_ito"; see graf_palettes for available palettes.

ColSeq

logical TRUE or FALSE. Default TRUE for sequential colours from chosen palette. Set to FALSE for distant colours, which will be applied using scale_fill_grafify2.

ColRev

whether to reverse order of colour within the selected palette, default F (FALSE); can be set to T (TRUE).

...

any additional arguments to pass to ggplot2geom_histogram.

## Value

This function returns a ggplot2 object of class "gg" and "ggplot".

## Details

Note that the function requires the quantitative Y variable first, and groups them based on a categorical variable passed on via the group argument. The grouping variable is mapped to the fill aesthetics in geom_histogram.

ColPal & ColRev options are applied to both fill and colour scales. Colours available can be seen quickly with plot_grafify_palette. Colours can be changed using ColPal, ColRev or ColSeq arguments. ColPal can be one of the following: "okabe_ito", "dark", "light", "bright", "pale", "vibrant, "muted" or "contrast". ColRev (logical TRUE/FALSE) decides whether colours are chosen from first-to-last or last-to-first from within the chosen palette. ColSeq decides whether colours are picked by respecting the order in the palette or the most distant ones using colorRampPalette.

## Examples

#Basic usage
plot_histogram(data = data_t_pratio,
ycol = Cytokine, group = Genotype,
BinSize = 10)

#with log transformation
plot_histogram(data = data_t_pratio,
ycol = log(Cytokine), group = Genotype,
BinSize = 10)