n_factors: Find Optimal Factor Number.

In MHS-R/mhs: MHSPackage

Description

Find optimal components number using maximum method aggreement.

Usage

n_factors(df, rotate = "varimax", fm = "minres", n = NULL)

Arguments

df	A dataframe or correlation matrix
rotate	What rotation to use c('none', 'varimax', 'oblimin','promax')
fm	Factoring method: 'pa' for Principal Axis Factor Analysis, 'minres' (default) for minimum residual (OLS) factoring, 'mle' for Maximum Likelihood FA and 'pc' for Principal Components
n	If correlation matrix is passed, the sample size.

Value

output

Author(s)

Dominique Makowski

Examples

library(dplyr)
data(attitude)
df <- dplyr::select_if(attitude, is.numeric)
results <- psycho::n_factors(df)

summary(results)
plot(results)

# See details on methods
psycho::values(results)$methods

MHS-R/mhs documentation built on May 25, 2019, 12:23 p.m.