Do you find yourself in need of making nice ggplot2 plots for group means over and over again? Are you tired of (re-)writing big chunks of code for something that should be easy? Here’s a solution. First install the package from Github using devtools:
library(devtools)
install_github("deleetdk/kirkegaard")
Then we plot:
library(kirkegaard) GG_group_means(iris, "Sepal.Length", "Species")
But what if we don’t like bar plots? Maybe because values of 0 don’t make sense:
GG_group_means(iris, "Sepal.Length", "Species", type = "point")
But what if we think that using just one point obscures the internal variation in groups? Let’s use all the points:
GG_group_means(iris, "Sepal.Length", "Species", type = "points")
But what if we really, really want to be sure of getting the right means? Maybe use a 99.9999% confidence interval:
GG_group_means(iris, "Sepal.Length", "Species", type = "points", CI = .999999)
