ow.anova: Simplified One-Way Analysis of Variance

In burrelvannjr/vannstats: Simplified Statistics for PA 606

Description

This function simplifies the call for one-way ANOVA (ow.anova) on a given data frame. Also allows calls for Tukey's Honestly Significant Difference Post-Hoc Comparisons Test (hsd), as well as a means plot (plot).

Usage

ow.anova(df, var1, by1, plot = FALSE, hsd = FALSE)

Arguments

df	data frame to read in.
var1	the dependent/outcome variable, Y.
by1	the main independent/predictor variable, X. A grouping variable by which var1 should be parsed.
plot	logical (default set to F). When set to plot = T, will return a means plot with 95 percent confidence intervals, broken out by each group (by1).
hsd	logical (default set to F). When set to hsd = T, will return results of Tukey's Honestly Significant Difference Post-Hoc Comparisons Test.

Value

This function returns the summary results table for a one-way ANOVA, examining mean differences in var1 from data frame df, across by1 groups.

Examples

data <- mtcars

ow.anova(data,mpg,cyl,plot=TRUE)

burrelvannjr/vannstats documentation built on April 30, 2021, 2:01 p.m.