mpa: Moderated Profile Analysis
In profileR: Profile Analysis of Multivariate Data in R

Description Usage Arguments Details Value References See Also Examples

Implements the moderated profile analysis approach developed by Davison & Davenport (unpublished)

1	mpa(formula, data, moderator, k = 100, na.action = "na.fail")

`formula`	An object of class `formula` of the form `response ~ terms`.
`data`	An optional data frame, list or environment containing the variables in the model.
`moderator`	Name of the moderator variable.
`k`	Corresponds to the scalar constant and must be greater than 0. Defaults to 100.
`na.action`	How should missing data be handled? Function defaults to failing if missing data are present.

The function returns the criterion-related moderated profile analysis described in Davison & Davenport (unpublished). Missing data are presently handled by specifying na.action = "na.omit", which performs listwise deletion and na.action = "na.fail", the default, which causes the function to fail. The following S3 generic functions are not yet available but will be in future implementations. summary(),anova(), print(), and plot(). These functions provide a summary of the analysis (namely, R2 and the level and pattern components); perform ANOVA of the R2 for the pattern, the level, and the overall model; provide output similar to lm(), and plots the pattern effect. WORKS ONLY WITH TWO GROUPS!

A list containing the following components:

call - The model call
output - The output from the moderated criterion-related profile analysis
f.table - The corrected F-table for assessing differences in patterns.
moder.model - The standard moderated regression model

Davison, M., & Davenport, E. (unpublished). Comparing Criterion-Related Patterns of Predictor Variables across Populations Using Moderated Regression.

cpa

## Not run: 
data(mod_data)
mod <- mpa(gpa ~ satv * major + satq * major, moderator = "major", data = bacc2001)
summary(mod$output)
mod$f.table
summary(mod$moder.model)

## End(Not run)