grouped_aov: Running analysis of variance (aov) across multiple grouping...

In groupedstats: Grouped Statistical Analyses in a Tidy Way

Description

Running analysis of variance (aov) across multiple grouping variables.

Usage

grouped_aov(
  data,
  grouping.vars,
  formula,
  effsize = "eta",
  output = "tidy",
  ...
)

Arguments

data	A data frame in which the variables specified in the formula will be found. If missing, the variables are searched for in the standard way.
grouping.vars	Grouping variables.
formula	A formula specifying the model.
effsize	Character describing the effect size to be displayed: "eta" (default) or "omega".
output	A character describing what output is expected. Two possible options: "tidy" (default), which will return the results, or "tukey", which will return results from Tukey's Honest Significant Differences method for post hoc comparisons. The "glance" method to get model summary is currently not supported for this function.
...	Currently ignored.

Examples

# uses dataset included in the `groupedstats` package
set.seed(123)
library(groupedstats)

# effect size
groupedstats::grouped_aov(
  formula = wt ~ mpg,
  data = mtcars,
  grouping.vars = am,
  effsize = "eta"
)

groupedstats documentation built on May 29, 2021, 1:06 a.m.