EFA.MRFA (version 1.0.9)

testme: Function for test the full capabilites of EFA.MRFA package

Description

testme is a function which includes all the functions available in the EFA.MRFA package, and his purpose is to serve as a demonstration of the potential usage of the package functions.

Usage

testme(example = FALSE)

Arguments

example

Determine if the usage is for exampling purpose or not (FALSE by default).

Details

The function implements all the functions on the EFA.MRFA package. For ilustrating purposes, the loading matrix obtained using MRFA (mrfa function) is rotated using the function promin (Lorenzo-Seva, 1999), from PCovR package (Vervloet, Kiers, Van den Noortgate & Ceulemans, 2015).

Both procedures for assessing the number of factors to be retained are provided. As can be seen, the procedures differ on the number of factors suggested, with Parallel Analysis suggesting 3 factors (corresponding to the 3 sub-dimensions of aggression), while Hull only suggests one factor to be retained, corresponding to the general agression factor.

References

Lorenzo-Seva, U. (1999). Promin: A Method for Oblique Factor Rotation. Multivariate Behavioral Research, 34(3), 347<U+2013>365 http://doi.org/10.1207/S15327906MBR3403_3

Vervloet, M., Kiers, H. A. L., Van den Noortgate, W., & Ceulemans, E. (2015). PCovR: An R Package for Principal Covariates Regression. JSS Journal of Statistical Software, 65(8). http://doi.org/10.18637/jss.v065.i08

Examples

# NOT RUN {
## For a fast usage of testme use:
testme(example=TRUE)

## For speeding purposes, the number of datasets have been largely reduced. For a proper
## use of testme, use testme() or using testme(example=FALSE).

# }