Plot a dotplot on a boxplot with two variables.

Source: R/plot_dotbox_sc.R

This function is related to plot_dotbox which maps the X variable to different fill colours, 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.

plot_dotbox_sc(
  data,
  xcol,
  ycol,
  colour = "ok_orange",
  dotsize = 1.5,
  dotthick = 1,
  b_alpha = 1,
  d_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.

dotsize

size of dots relative to binwidth used by geom_dotplot. Default set to 1.5, increase/decrease as needed.

dotthick

thickness of dot border (stroke parameter of geom_dotplot), default set to 1.

b_alpha

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

d_alpha

fractional opacity of dots, 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 or ggplot2geom_dotplot.

Value

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

Details

The default colour is ok_orange. ColPal and ColRev arguments are not available. Colours available can be seen quickly with plot_grafify_palette.

Examples


#with default colour ("okabe_ito")
plot_dotbox_sc(data = data_doubling_time, 
xcol = Student, ycol = Doubling_time)
#> Bin width defaults to 1/30 of the range of the data. Pick better value with `binwidth`.

#set a different colour
plot_dotbox_sc(data = data_doubling_time, 
xcol = Student, ycol = Doubling_time, 
colour = "pale_blue")
#> Bin width defaults to 1/30 of the range of the data. Pick better value with `binwidth`.