radiant.multivariate (version 1.6.6)

full_factor: 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()
)

Value

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

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

See Also

summary.full_factor to summarize results

plot.full_factor to plot results

Examples

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