ANOVA: Perform Comprehensive Analysis of Variance (ANOVA)

In ccamp83/mu: R package for general statistical analysis of univariate and multivariate data

Perform Comprehensive Analysis of Variance (ANOVA)

Description

This function performs a comprehensive Analysis of Variance (ANOVA) that handles both univariate and multivariate designs. It provides detailed statistics including effect sizes and sphericity tests for repeated measures designs.

Usage

ANOVA(data, dv, formula, type = 2)

Arguments

data	A data frame containing the variables for analysis
dv	Character string specifying the dependent variable
formula	A formula object specifying the ANOVA design. For repeated measures, the within-subjects factors should be on the right side of the ~
type	Numeric value specifying the type of sum of squares to use (default = 2)

Details

The function calculates: * Partial eta-squared (etaSqP) * Eta-squared (etaSq) * Omega-squared (omegaSq) * F-values and p-values * Sphericity tests for repeated measures designs

Value

A list object of class "ANOVA" containing:

fit	The fitted linear model object
idata	Data frame containing the within-subjects factor levels
wdata	The data in wide format
full.analysis	Complete Anova results
results	List containing univariate and multivariate results
sphericity.test	Mauchly's test of sphericity (for repeated measures)
sphericity.correction	Sphericity corrections (Greenhouse-Geisser and Huynh-Feldt)

Examples

# Between-subjects ANOVA
ANOVA(data = mydata, dv = "score", formula = ~ group)

# Repeated measures ANOVA
ANOVA(data = mydata, dv = "score", formula = subject ~ time)

# Mixed ANOVA
ANOVA(data = mydata, dv = "score", formula = subject + group ~ time)

ccamp83/mu documentation built on Nov. 7, 2024, 5:17 p.m.