HW {fungible}

Six data sets that yield a Heywood case

Description

Six data sets that yield a Heywood case in a 3-factor model.

Usage

data(HW)

Format

Each data set is a matrix with 150 rows and 12 variables:

Each data set (HW1, HW2, ... HW6) represents a hypothetical sample of 150 subjects from a population 3-factor model. The population factor loadings are given in HW$popLoadings.

Examples

data(HW)

# Compute a principal axis factor analysis 
# on the first data set  
RHW <- cor(HW$HW1)  
fapaOut <- faMain(R = RHW, 
                 numFactors = 3, 
                 facMethod = "fapa", 
                 rotate = "oblimin",
                 faControl = list(treatHeywood = FALSE))


fapaOut$faFit$Heywood
round(fapaOut$h2, 2)