minimalExamples: A collection of minimal Examples from various designs with...

In ANOPA: Analyses of Proportions using Anscombe Transform

A collection of minimal Examples from various designs with one or two factors.

Description

The datasets present minimal examples that are analyzed with an Analysis of Frequency Data method (described in \insertCitelc23;textualANOPA. The five datasets are

• minimalBSExample: an example with a single factor (state of residency)

• twoWayExample: an example with two factors, Class and Difficulty

• minimalWSExample: an example with a within-subject design (three measurements)

• twoWayWithinExample: an example with two within-subject factors

• minimalMxExample: a mixed design having one within and one between-subject factors

• minimalMxExampleCompiled: a mixed design having one within and one between-subject factors but available in a compiled format (more compact).

Usage

minimalBSExample

twoWayExample

minimalWSExample

twoWayWithinExample

minimalMxExample

minimalMxExampleCompiled

Format

Objects of class data.frame:

An object of class data.frame with 6 rows and 4 columns.

An object of class data.frame with 19 rows and 3 columns.

An object of class data.frame with 30 rows and 6 columns.

An object of class data.frame with 27 rows and 5 columns.

An object of class data.frame with 4 rows and 5 columns.

References

\insertAllCited

Examples

library(ANOPA)

# the twoWayExample data with proportions per Classes and Difficulty levels 
twoWayExample

# perform an anopa on this dataset
w <- anopa( {success;total} ~ Difficulty * Class, twoWayExample) 

# We analyse the proportions by Difficulty for each Class
e <- emProportions(w, ~ Difficulty | Class)

ANOPA documentation built on Aug. 19, 2025, 1:11 a.m.