Plot a scatter plot on a boxplot with two variables.

This function is related to plot_scatterbox_sd, but this one maps a single or same colour, therefore _sc. The only new argument is colour, which can be any hexcode or name of colours in the all_grafify palette. The default colour is ok_orange. ColPal and ColRev arguments are not available. Colours available can be seen quickly with plot_grafify_palette.

plot_scatterbox_sc(
  data,
  xcol,
  ycol,
  colour = "ok_orange",
  symsize = 2.5,
  symthick = 1,
  jitter = 0.2,
  b_alpha = 1,
  s_alpha = 1,
  TextXAngle = 0,
  fontsize = 20,
  ...
)

Arguments

data

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

xcol

name of the column to plot on X axis. This should be a categorical variable.

ycol

name of the column to plot on quantitative Y axis. This should be a quantitative variable.

colour

colour of boxes and dots; a number between 1-64, any hexcode or names from grafify colour palettes. Default is ok_orange.

symsize

size of symbols used by geom_point. Default set to 2.5, increase/decrease as needed.

symthick

thickness of symbol border (stroke parameter of geom_point), default set to 1.

jitter

extent of jitter (scatter) of symbols, default is 0 (i.e. aligned symbols). To reduce symbol overlap, try 0.1-0.3 or higher.

b_alpha

fractional opacity of boxplot, default set to 1 (i.e. maximum opacity & zero transparency).

s_alpha

fractional opacity of symbols, default set to 1 (i.e. maximum opacity & zero transparency).

TextXAngle

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

fontsize

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

...

any additional arguments to pass to ggplot2geom_boxplot.

Value

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

Examples

#with jitter
plot_scatterbox_sc(data = data_cholesterol, 
xcol = Treatment, ycol = Cholesterol)


#with "ok_grey" colour
plot_scatterbox_sc(data = data_cholesterol, 
xcol = Treatment, ycol = Cholesterol, 
colour = "ok_grey")