full_factor: Factor analysis (PCA)

In radiant-rstats/radiant.multivariate: Multivariate Menu for Radiant: Business Analytics using R and Shiny

Factor analysis (PCA)

Description

Factor analysis (PCA)

Usage

full_factor(
  dataset,
  vars,
  method = "PCA",
  hcor = FALSE,
  nr_fact = 1,
  rotation = "varimax",
  data_filter = "",
  envir = parent.frame()
)

Arguments

dataset	Dataset
vars	Variables to include in the analysis
method	Factor extraction method to use
hcor	Use polycor::hetcor to calculate the correlation matrix
nr_fact	Number of factors to extract
rotation	Apply varimax rotation or no rotation ("varimax" or "none")
data_filter	Expression entered in, e.g., Data > View to filter the dataset in Radiant. The expression should be a string (e.g., "price > 10000")
envir	Environment to extract data from

Details

See https://radiant-rstats.github.io/docs/multivariate/full_factor.html for an example in Radiant

Value

A list with all variables defined in the function as an object of class full_factor

See Also

summary.full_factor to summarize results

plot.full_factor to plot results

Examples

full_factor(shopping, "v1:v6") %>% str()

radiant-rstats/radiant.multivariate documentation built on Nov. 29, 2023, 9:52 p.m.