Learn R Programming

semTools (version 0.5-6)

EFA-class: Class For Rotated Results from EFA

Description

This class contains the results of rotated exploratory factor analysis

Usage

# S4 method for EFA
show(object)

# S4 method for EFA summary(object, suppress = 0.1, sort = TRUE)

Arguments

object

object of class EFA

suppress

any standardized loadings less than the specified value will not be printed to the screen

sort

logical. If TRUE (default), factor loadings will be sorted by their size in the console output

Slots

loading

Rotated standardized factor loading matrix

rotate

Rotation matrix

gradRotate

gradient of the objective function at the rotated loadings

convergence

Convergence status

phi:

Factor correlation matrix. Will be an identity matrix if orthogonal rotation is used.

se

Standard errors of the rotated standardized factor loading matrix

method

Method of rotation

call

The command used to generate this object

Objects from the Class

Objects can be created via the orthRotate or oblqRotate function.

See Also

efaUnrotate; orthRotate; oblqRotate

Examples

Run this code
# NOT RUN {
unrotated <- efaUnrotate(HolzingerSwineford1939, nf = 3,
                         varList = paste0("x", 1:9), estimator = "mlr")
summary(unrotated, std = TRUE)
lavInspect(unrotated, "std")

# Rotated by Quartimin
rotated <- oblqRotate(unrotated, method = "quartimin")
summary(rotated)

# }

Run the code above in your browser using DataLab