plot.Hull: Plot Hull Plot for Factor Analysis

In EFAfactors: Determining the Number of Factors in Exploratory Factor Analysis

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 class 'Hull'
plot(x, ...)

Arguments

x	An object of class Hull, representing the results to be plotted.
...	Additional arguments to be passed to the plotting function.

Value

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

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


 Hull.obj <- CD(response)

 ## Hull plot
 plot(Hull.obj)

EFAfactors documentation built on Sept. 30, 2024, 1:06 a.m.