Tukey HSD Plot

This calculates and displays means, confidence intervals as well as which groups are different based on Tukey's HSD. Inspired by http://stackoverflow.com/questions/18771516/is-there-a-function-to-add-aov-post-hoc-testing-results-to-ggplot2-boxplot

Usage

TukeyHSDgg(x, y, d, ci = 0.95, idvar, ...)

Arguments

x

A categorical grouping variable name.

y

A continuous outcome variable name.

d

A dataset

ci

A numeric value indicating the coverage of the confidence interval to use. Defaults to 0.95.

idvar

An optional ID variable for multilevel data

...

Additional arguments passed on.

Value

A ggplot graph object.

Examples

## examples using it with single level data
## differences based on an ANOVA and follow up contrasts
mtcars$cyl <- factor(mtcars$cyl)
TukeyHSDgg("cyl", "mpg", mtcars)
#> Warning: no non-missing arguments to max; returning -Inf

rm(mtcars)

if (FALSE) { # \dontrun{
TukeyHSDgg("Species", "Sepal.Length", iris)

## example based on multilevel data
## differences based on model fit with lmer and follow up contrasts
TukeyHSDgg("treatment", "decrease", OrchardSprays, idvar = "colpos")
} # }