repMeasAnova {RcmdrPlugin.aRnova}

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:

• 'SS type' type of sum of squares, default: type = 2. See Details in Anova

• 'Effect size' compute and prints effect size (partial eta squared)

• 'Summary statistics for groups' prints summary statistics for groups formed by all combinations of factors

• 'Pairwise comparisons of means' performs post-hoc Tukey's HSD test on significant (p < .05) or close to significant (p < 0.1) effects.

On OK, the following operations are carried out:

• Generates a dataset containing complete cases and converted from 'wide' to 'long' format (extension .cplt.lg), with the following columns added:

  • 'id' (factor) identifies the subjects.

  • 'DV' (numeric) the measure or dependent variable.

  • 'trial' (int) variable that differentiates multiple measures ('DV') from the same subject ('id').

  • '<factorA>' (factor) levels of the within-suject factor A (one column per within subject factor)

  • '<factorA.factorB:...>' (factor) factor that differentiates multiple measures from groups or subjects with same factors levels

  This 'long' dataset is useful for ploting means and post-hoc analysis

• Computes repeated measure ANOVA using Anova

• Computes effect sizes (partial eta squared)

• Prints a summary of marginal statistics (count, min, max, mean, ds)

• runs post-hoc analysis on significant or close to significant effects

Value

None

Author(s)

Jessica Mange [e-mail]

Arnaud Travert [e-mail]

See Also

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