wrap.planned: ANOVA (planned contrasts)

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

ANOVA (planned contrasts)

Description

Performs planned contrasts for a one-way, between-subjects ANOVA. This function assumes categorical (i.e., unordered) independent variables, fixed effects, and equality of variances across conditions. If variance differs significantly by condition in your data, the function also displays the results of Levene's test for equality of variances with centering at the median. Note that the confidence interval and Cohen's d use mean-square error to estimate variance.

Usage

wrap.planned(dv1, iv1, levels, weights)

Arguments

dv1	Column vector containing the dependent variable
iv1	Column vector containing the between-subjects independent variable
levels	String vector containing two or more factor levels of the independent variable
weights	Numeric vector containing the contrast weights. Must sum to +1 and -1.

Examples

## Contrast between two levels of the independent variable
wrap.planned(dv1 = bdata$DV5, iv1 = bdata$IV2, levels = c("PhotoA", "PhotoB"),
weights = c(-1, 1))

## Contrast between three levels of the independent variable
wrap.planned(dv1 = bdata$DV5, iv1 = bdata$IV2, levels = c("PhotoA", "PhotoB",
"PhotoC"), weights = c(-1, 0.5, 0.5))

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