cleanFactors: cleanFactors

In cognopod/walter: Functions and Visualizations for Factor Analysis

Description

Make factor analysis practice data.

Usage

cleanFactors(nsubjects = 300, nlatent = NA, nvars = NA, ndistract = NA,
  noiselevel = 0, garbage = FALSE)

Arguments

nlatent	Number of latent factors. By default generates a random number of factors between 2 and 6.
nvars	Number of measured variables (items) for each latent factor. By default generated a random number of variables for each factor. Assigning a value generates the same number of variables for each factor.
ndistract	Number of variable (items) not loading on any factor.
noiselevel	An integer to add noise to the structure matrix used to create the factor structure.
garbage	A boolean argument used to generate uniform data with some level of noise.
nsubject	Number of rows of data to simulate.

Value

A list of components.

sample	The sample dataset.
nlatent	The number of latent factors used to generate the dataset.
nvars	A vector of the number of variables in each factor.
ndistract	The number of variables not in the factor structure.
nsubjects	The number of subjects in the dataset.
noiselevel	The amount of noise added to the factor structure.

cognopod/walter documentation built on May 20, 2019, 11:16 a.m.