# enumR: enumR function In smasongarrison/enumR: Factor Enumeration Functions

## Description

The enumR function is a heavily modified version of the `vss` function from `Psych` Package]. Both functions are designed to help researchers determine the number of factors in their exploratory factor analysis. This function includes a variarity of methods.

## Usage

 ```1 2 3``` ```enumR(x, nfactors = 8, rotation = "oblimin", diagonal = FALSE, method = "ml", samplesize = NULL, use = "pairwise", cor = "cov", truemodel = FALSE, ...) ```

## Arguments

 `x` a correlation matrix or a data matrix ... parameters to pass to the factor analysis program The most important of these is if using a correlation matrix is covmat= xx `nfactors` Maximum number of factors to extract. Needs to be larger than expected. `rotation` what rotation to use c("none", "varimax", "oblimin","promax") `diagonal` Should we fit the diagonal as well `method` factoring method – fm="pa" Principal Axis Factor Analysis, fm = "minres" minimum residual (OLS) factoring fm="ml" Maximum Likelihood FA, fm="pc" Principal Components" `samplesize` Number of observations if doing a factor analysis of correlation matrix. This value is ignored by VSS but is necessary for the ML factor analysis packag `use` If doing covariances or Pearson R, should we use "pairwise" or "complete cases" `cor` What kind of correlation to find, defaults to covariance matrix, but see fa for the choices `true_model` If TRUE, Estimates model using `nfactors` only. Is used in `enumRsimulation` function. Default is FALSE.

## Value

dataframe

smasongarrison/enumR documentation built on May 24, 2019, 7:19 a.m.