README.md

In maximilian-heeg/ggsimplestats: Add statistics to ggplots

ggsimplestats

The goal of ggsimplestats is to provide an easy interface to add statistics to boxplot created with ggplot2

Installation

You can install the development version of ggsimplestats like so:

# install.packages("devtools")
devtools::install_github("maximilian-heeg/ggsimplestats")

Minimal Example

This is a minimal example of how to add the statistics to a plot. In this example we use the PlantGrowth dataset.

library(ggplot2)
library(ggsimplestats)

theme_set(ggthemes::theme_few())

ggplot(PlantGrowth, aes(group, weight, fill=group)) +
  geom_boxplot()  +
  stat_kwAllPairsDunnTest()

Test types

Currently, four different tests are supported.

• Two parametric tests
  • stat_tukeyHSD performes a TukeyHSD posthoc test on a anova.
  • stat_mixedModel creates a mixed model with lmer using y ~ x + (1|group). In a second step, significanes are calcuated using pairs(emmeans(model ~ x)).
• Two non-parametric tests
  • stat_kwAllPairsDunnTest uses PMCMRplus::kwAllPairsDunnTest() to perform Dunn’s non-parametric all-pairs comparison test for Kruskal-type ranked data
  • stat_frdAllPairsNemenyiTest uses PMCMRplus::frdAllPairsNemenyiTest() to perform Nemenyi’s all-pairs comparisons tests of Friedman-type ranked data

Further reading

For further information please see the vignette("ggsimplestats").

maximilian-heeg/ggsimplestats documentation built on June 9, 2022, 9:44 p.m.