Type: Package
Title: R Commander Plug-in for Repeated-Measures ANOVA
Version: 0.0.6
Date: 2025-05-06
Author: Arnaud Travert ORCID iD [aut, cre], Jessica Mange ORCID iD [aut]
Maintainer: Arnaud Travert <arnaud.travert@unicaen.fr>
Depends: R (≥ 3.2.0)
Imports: Rcmdr
Suggests: knitr
Description: R Commander plug-in for repeated-measures and mixed-design ('split-plot') ANOVA. It adds a new menu entry for repeated measures that allows to deal with up to three within-subject factors and optionally with one or several between-subject factors. It also provides supplementary options to oneWayAnova() and multiWayAnova() functions, such as choice of ANOVA type, display of effect sizes and post hoc analysis for multiWayAnova().
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
LazyLoad: yes
LazyData: yes
NeedsCompilation: no
RoxygenNote: 7.3.2
VignetteBuilder: knitr
Packaged: 2025-05-06 11:31:37 UTC; Arnaud
Repository: CRAN
Date/Publication: 2025-05-06 12:20:05 UTC

Status, Authoritarianism, and Conformity

Description

The Moore data frame has 45 rows and 4 columns. The data are for subjects in a social-psychological experiment, who were faced with manipulated disagreement from a partner of either of low or high status. The subjects could either conform to the partner's judgment or stick with their own judgment.

Usage

Moore

Format

This data frame contains the following columns:

partner.status

Partner's status. A factor with levels: high, low.

conformity

Number of conforming responses in 40 critical trials.

fcategory

F-Scale Categorized. A factor with levels (note levels out of order): high, low, medium.

fscore

Authoritarianism: F-Scale score.

Source

Moore, J. C., Jr. and Krupat, E. (1971) Relationship between source status, authoritarianism and conformity in a social setting. Sociometry 34, 122–134.

Personal communication from J. Moore, Department of Sociology, York University.

References

Fox, J. (2008) Applied Regression Analysis and Generalized Linear Models, Second Edition. Sage.

Fox, J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition, Sage.

O'Brien and Kaiser's Repeated-Measures Data

Description

These contrived repeated-measures data are taken from O'Brien and Kaiser (1985). The data are from an imaginary study in which 16 female and male subjects, who are divided into three treatments, are measured at a pretest, postest, and a follow-up session; during each session, they are measured at five occasions at intervals of one hour. The design, therefore, has two between-subject and two within-subject factors.

The contrasts for the treatment factor are set to -2, 1, 1 and 0, -1, 1. The contrasts for the gender factor are set to contr.sum.

Usage

OBrienKaiser

Format

A data frame with 16 observations on the following 17 variables.

treatment

a factor with levels control A B

gender

a factor with levels F M

pre.1

pretest, hour 1

pre.2

pretest, hour 2

pre.3

pretest, hour 3

pre.4

pretest, hour 4

pre.5

pretest, hour 5

post.1

posttest, hour 1

post.2

posttest, hour 2

post.3

posttest, hour 3

post.4

posttest, hour 4

post.5

posttest, hour 5

fup.1

follow-up, hour 1

fup.2

follow-up, hour 2

fup.3

follow-up, hour 3

fup.4

follow-up, hour 4

fup.5

follow-up, hour 5

Source

O'Brien, R. G., and Kaiser, M. K. (1985) MANOVA method for analyzing repeated measures designs: An extensive primer. Psychological Bulletin 97, 316–333, Table 7.

Examples

OBrienKaiser
contrasts(OBrienKaiser$treatment)
contrasts(OBrienKaiser$gender)

Chemical Composition of Pottery

Description

The data give the chemical composition of ancient pottery found at four sites in Great Britain. They appear in Hand, et al. (1994), and are used to illustrate MANOVA in the SAS Manual. (Suggested by Michael Friendly.)

Usage

Pottery

Format

A data frame with 26 observations on the following 6 variables.

Site

a factor with levels AshleyRails Caldicot IsleThorns Llanedyrn

Al

Aluminum

Fe

Iron

Mg

Magnesium

Ca

Calcium

Na

Sodium

Source

Hand, D. J., Daly, F., Lunn, A. D., McConway, K. J., and E., O. (1994) A Handbook of Small Data Sets. Chapman and Hall.

Examples

Pottery

Generalized Linear Model

Description

This is a minor modification of generalizedLinearModel where size effects are computed and displayed for logistic regression

Usage

generalizedLinearModel_()

See Also

generalizedLinearModel

Multiway ANOVA

Description

This is a modification of Rcmdr::multiWayAnova() where supplementary options have been added.

Usage

multiWayAnova_()

Details

Options:

On OK, the following operations are carried out:

Value

None

See Also

Anova for the computation of ANOVA

One way ANOVA

Description

This is a modification of Rcmdr::oneWayAnova() where supplementary options have been added.

Usage

oneWayAnova_()

Details

Options:

On OK, the following operations are carried out:

Value

None

See Also

aov for the computation of ANOVA

Repeated measures ANOVA

Description

Dialog box to (i) select the within-subject variables corresponding to the factors defined in repMeasAnovaSetup, (ii) select the between-suject factors, (iii) set options and (iv) launch the repeated measures anova.

Usage

repMeasAnova(.withinfactors, .withinlevels)

Arguments

.withinfactors

list of within-subject factors

.withinlevels

list of within-subject variables

Details

Options:

On OK, the following operations are carried out:

Value

None

Author(s)

Jessica Mange jessica.mange@unicaen.fr

Arnaud Travert arnaud.travert@unicaen.fr

See Also

repMeasAnovaSetup for the definition of within factors, Anova for the computation of ANOVA

Repeated measure ANOVA setup

Description

Dialog box to enter the names and levels of within-factors.

Usage

repMeasAnovaSetup()

Details

Up to three factors can be entered. A valid within-factor entry must consist in a syntactically valid name (see make.names) and 2 levels or more.

On OK:

Author(s)

Jessica Mange jessica.mange@unicaen.fr

Arnaud Travert arnaud.travert@unicaen.fr

See Also

repMeasAnova.