score: Factor and component scores

In Rkabacoff/qacr: Functions to Facilitate Data Science Projects

Description

score calculates principal component or factor scores based on the model generated by PCA and FA functions

Usage

score(data, model)

Arguments

data	the data frame used to generate a PCA or FA model.
model	the model generated by the PCA or FA functions.

Details

The score function adds component or factor scores to a data frame. Scores are calculated using the regression method.

Value

the data frame with component or factor scores appended.

See Also

PCA, FA.

Examples

ratings <- read.csv("https://www.promptcloud.com/wp-content/uploads/2017/02/EFA.csv")
fit.pca <- PCA(ratings, nfactors=2, rotate="varimax")
newdf <- score(ratings, fit.pca)
head(newdf)

Rkabacoff/qacr documentation built on March 20, 2021, 3:03 p.m.