EFAfactors (version 1.2.2)

plot.Hull: Plot Hull Plot for Factor Analysis

Description

This function creates a Hull plot to visualize the relationship between the Comparative Fit Index (CFI) and the degrees of freedom (df) for a range of models with different numbers of factors. The Hull plot helps in assessing model fit and identifying optimal models.

Usage

# S3 method for Hull
plot(x, ...)

Value

None. This function is used for side effects (plotting).

Arguments

x

An object of class Hull, representing the results to be plotted.

...

Additional arguments to be passed to the plotting function.

See Also

Hull

Examples

library(EFAfactors)
set.seed(123)

##Take the data.bfi dataset as an example.
data(data.bfi)

response <- as.matrix(data.bfi[, 1:25]) ## loading data
response <- na.omit(response) ## Remove samples with NA/missing values

## Transform the scores of reverse-scored items to normal scoring
response[, c(1, 9, 10, 11, 12, 22, 25)] <- 6 - response[, c(1, 9, 10, 11, 12, 22, 25)] + 1

# \donttest{
 Hull.obj <- CD(response)

 ## Hull plot
 plot(Hull.obj)

# }