cats_meow: plot quantitative x categorical data various ways

In lukereding/redingPlot: Collection of plotting functions

Description

boxplot + mean with fences for CIs or s.e.m.s + data jittered

Usage

cats_meow(y, x = NA, lab = NA, SEM = FALSE, CI = TRUE,
  box_thickness = 0.2, plot_data = T, colors = viridis(5)[1:4], ...)

Arguments

y	either a list of the data you wish to plot, where length(data) == # of groups, or a column of a dataframe containing y axis values
x	NA if y is a list. Otherwise a column in a dataframe containing the group labels for each observation in y
lab	labels for groups
SEM	draw s.e.m.'s as fences? defaults to FALSE
CI	draw 95 percent CIs as fences? defaults to TRUE
box_thickness	thickness of the boxes of your boxplots
plot_data	logical. plot the data jittered alongside the boxplot? Defaults to TRUE
colors	colors of the data points. defaults to viridis colors
...	other arguments to pass to par()

Value

none

Examples

data(iris); cats_meow(iris$Sepal.Length,iris$Species, ylab="sepal length", xlab = "species")

lukereding/redingPlot documentation built on May 21, 2019, 8:58 a.m.