wrap.anova: ANOVA (main effects & interaction effects)

In michaelkardas/bwrappers: Clean, analyze, and visualize data in the behavioral sciences

ANOVA (main effects & interaction effects)

Description

Computes main effects and interaction effects for ANOVA with up to 1 within-subjects factor and up to 3 between-subjects factors. The function delegates the primary computations to ezANOVA. Note that this function assumes categorical (i.e., unordered) independent variables, fixed effects, equality of variances for between-subjects factors, and sphericity for within-subjects factors. If variance differs significantly by condition in a fully between-subjects analysis, or if sphericity does not hold, the function additionally displays assumption checks. In the output, hp2 denotes partial eta squared.

Usage

wrap.anova(dv1, iv1 = NULL, iv2 = NULL, iv3 = NULL, type = 3)

Arguments

dv1	Column vector containing the between-subjects dependent variable OR multiple column vectors containing the within-subjects dependent variables
iv1, iv2, iv3	Column vectors containing the between-subjects independent variables
type	Numeric argument representing sum-of-squares type (1, 2, or 3)

See Also

ezANOVA

Examples

## ANOVA with 1 within-subjects factor
wrap.anova(dv1 = bdata[c(6, 8)])

## ANOVA with 2 between-subjects factors
wrap.anova(dv1 = bdata$DV5, iv1 = bdata$IV1, iv2 = bdata$IV2)

## ANOVA with 1 within-subjects factor & 2 between-subjects factors
wrap.anova(dv1 = bdata[c(6, 8)], iv1 = bdata$IV1, iv2 = bdata$IV2)

michaelkardas/bwrappers documentation built on Nov. 13, 2022, 1:14 a.m.