groupdiff: Test of group differences

In Rkabacoff/qacBase: Functions to Facilitate Exploratory Data Analysis

Test of group differences

Description

One-way analysis (ANOVA or Kruskal-Wallis Test) with post-hoc comparisons and plots

Usage

groupdiff(
  data,
  y,
  x,
  method = c("anova", "kw"),
  digits = 2,
  horizontal = FALSE,
  posthoc = FALSE
)

Arguments

data	a data frame.
y	a numeric response variable
x	a categorical explanatory variable. It will coerced to be a factor.
method	character. Either "anova", or "kw" (see details).
digits	Number of significant digits to print.
horizontal	logical. If TRUE, boxplots are plotted horizontally.
posthoc	logical. If TRUE, the default, perform pairwise post-hoc comparisons (TukeyHSD for ANOVA and Conover Test for Kuskal Wallis). This test will only be performed if there are 3 or more levels for X.

Details

The groupdiff function performs one of two analyses:

anova

A one-way analysis of variance, with TukeyHSD post-hoc comparisons.

kw

A Kruskal Wallis Rank Sum Test, with Conover Test post-hoc comparisons.

In each case, summary statistics and a grouped boxplots are provided. In the parametric case, the statistics are n, mean, and standard deviation. In the nonparametric case the statistics are n, median, and median absolute deviation. If posthoc = TRUE, pairwise comparisons of superimposed on the boxplots. Groups that share a letter are not significantly different (p < .05), controlling for multiple comparisons.

Value

a list with 3 components:

result

omnibus test

summarystats

summary statistics

plot

ggplot2 graph

See Also

kwAllPairsConoverTest, multcompLetters.

Examples

# parametric analysis
groupdiff(cars74, hp, gear)

# nonparametric analysis
groupdiff(cardata, popularity, vehicle_style, posthoc=TRUE,
          method="kw", horizontal=TRUE)

Rkabacoff/qacBase documentation built on June 23, 2022, 7:13 p.m.