ecov: Effect Covariance Matrix

In Dustin-Wood/funfield: Functional Field Functions

Effect Covariance Matrix

Description

Creates the effect covariance matrix from the long-format P*S*I effect file (usually estimated by function ecov_long)

Usage

ecov(data,fX,fY,dXdY="cov")

Arguments

data	effect covariance elements (should be generated from ecov_long)
fX	Variable containing the X expected outcome feature names
fY	Variable containing the Y expected outcome feature names
dXdY	Variable containing the product of X and Y expected effects
order	specification of the order you would like the variables to be ordered within the output (defaults to NA if none given)
byP	Do a 'two-step aggregation' in which observations are averaged within-person first, so that all participants observations are weighted equally (for instance: if one participant rated 8 scenarios, and another only rated 1).

Details

This function utilizes functions from plyr and tidyr

This will also place features in alphabetical order by default - which is almost always suboptimal. This can be altered by specifying an order, in the form of a vector with the names of the variables in the preferred order.

Value

Expected effect covariance (and correlation) matrix; & associated sample sizes

Dustin-Wood/funfield documentation built on July 20, 2023, 7:10 a.m.