factorAnalysisjmv: Factor Analysis

In rosetta: Parallel Use of Statistical Packages in Teaching

Factor Analysis

Description

Factor Analysis

Usage

factorAnalysisjmv(
  data,
  items,
  nFactorMethod = "eigen",
  nFactors = 1,
  minEigen = 1,
  extraction = "minres",
  rotation = "oblimin",
  colorLoadings = TRUE,
  screePlot = FALSE,
  eigen = FALSE,
  factorCor = FALSE,
  factorSummary = FALSE,
  modelFit = FALSE
)

Arguments

data	the data as a data frame
items	a vector of strings naming the variables of interest in data
nFactorMethod	.
nFactors	.
minEigen	.
extraction	.
rotation	.
colorLoadings	.
screePlot	.
eigen	.
factorCor	.
factorSummary	.
modelFit	.

Value

A results object containing:

results$loadings					a html
results$factorStats$factorSummary					a table
results$factorStats$factorCor					a table
results$modelFit$fit					a table
results$eigen$initEigen					a table
results$eigen$screePlot					an image

rosetta documentation built on March 7, 2023, 7:40 p.m.