robustfa (version 1.0-4)

FaClassic: Classical Factor Analysis

Description

Performs a classical factor analysis and returns the results as an object of class "FaClassic" (a.k.a. constructor).

Usage

FaClassic(x, ...)
## S3 method for class 'formula':
FaClassic(formula, data = NULL, factors = 2, cor = FALSE, method = "mle", 
scoresMethod = "none", \dots)
## S3 method for class 'default':
FaClassic(x, factors = 2, cor = FALSE, method = c("mle", "pca", "pfa"), 
scoresMethod = c("none", "regression", "Bartlett"), ...)

Arguments

x

A formula or a numeric matrix or an object that can be coerced to a numeric matrix.

...

Arguments passed to or from other methods.

formula

A formula with no response variable, referring only to numeric variables.

data

An optional data frame (or similar: see model.frame) containing the variables in the formula.

factors

The number of factors to be fitted.

cor

A logical value indicating whether the calculation should use the covariance matrix (cor = FALSE) or the correlation matrix (cor = TRUE).

method

The method of factor analysis, one of "mle" (the default), "pca", and "pfa".

scoresMethod

Type of scores to produce, if any. The default is "none", "regression" gives Thompson's scores, "Bartlett" gives Bartlett's weighted least-squares scores.

Value

• An S4 object of class FaClassic-class which is a subclass of the virtual class Fa-class.

References

Zhang, Y. Y. (2013), An Object Oriented Solution for Robust Factor Analysis.

See Also

FaClassic-class, FaCov-class, FaRobust-class, Fa-class

Examples

data("hbk")
hbk.x = hbk[,1:3] 

## faClassicPcaReg uses the default method
faClassicPcaReg = FaClassic(x = hbk.x, factors = 2, method = "pca",
scoresMethod = "regression"); faClassicPcaReg
summary(faClassicPcaReg)

## faClassicForPcaReg uses the formula interface
## faClassicForPcaReg = faClassicPcaReg
faClassicForPcaReg = FaClassic(~., data=as.data.frame(hbk.x), factors = 2, 
method = "pca", scoresMethod = "regression"); faClassicForPcaReg
summary(faClassicForPcaReg)