Plot a point as mean with SD error bars using two variables.

Source: R/plot_point_sd_sc.R

This function is related to plot_point_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_point_sd_sc(
  data,
  xcol,
  ycol,
  colour = "ok_orange",
  s_alpha = 1,
  symsize = 3.5,
  symthick = 1,
  ewid = 0.2,
  TextXAngle = 0,
  fontsize = 20
)

Arguments

data

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

xcol

name of the column with a categorical X variable.

ycol

name of the column with quantitative Y variable.

colour

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

s_alpha

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

symsize

size of point symbols, default set to 3.5.

symthick

thickness of symbol border, default set to 1

ewid

width of error bars, default set to 0.2.

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.

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

#Basic usage
plot_point_sd_sc(data = data_doubling_time, 
xcol = Student, ycol = Doubling_time)

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