Plot a bar graph indicating mean with error bars (SD) using two variables.

This function is related to plot_bar_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_bar_sd_sc(
  data,
  xcol,
  ycol,
  colour = "ok_orange",
  b_alpha = 1,
  bwid = 0.7,
  bthick = 1,
  ewid = 0.3,
  TextXAngle = 0,
  fontsize = 20,
  ...
)

Arguments

data

a data table object, e.g. a 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 the 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.

b_alpha

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

bwid

width of bars (default 0.7).

bthick

thickness of bar borders; default 1.

ewid

width of error bars, default 0.3.

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 stat_summary.

Value

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

Details

You are instead encouraged to show all data using the following functions: plot_scatterbar_sd, plot_scatterbox, plot_dotbox, plot_dotbar_sd, plot_scatterviolin or plot_dotviolin.

Examples

plot_bar_sd_sc(data = data_doubling_time, 
xcol = Student, ycol = Doubling_time, 
colour = "ok_grey")