check_normality: Test normality across groups
In rscherrer/sagreicolor:

Description Usage Arguments Value Author(s)

This function tests for normality of the data across groups (island-habitat combinations). If performs multiple Shapiro-Wilk's normality tests. P-values are adjusted to account for multiple testing. blabla

1	check_normality(specdata, vars, plotit = T, method = "bonferroni")

`specdata`	A data frame containing at least columns for the dependent variables, as well as a column "island" and a column "habitat".
`vars`	A character or integer vector. The names, or indices, of the dependent variables in `specdata`.
`plotit`	Logical. Whether to plot adjusted P-values.
`method`	A character, the method used for P-value correction. See `?p.adjust`.

A list with one element per dependent variable. Each element is a data frame with Shapiro's W statistic, its P-value and adjusted P-value for each group (island-habitat combination). If plotit = T, also returns a bar plot of the adjusted P-values with a dashed line at 0.05.

Raphael Scherrer

rscherrer/sagreicolor documentation built on Dec. 26, 2018, 1:15 p.m.