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

Description Usage Arguments Value

View source: R/enumR.R

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.

1
2
3

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

`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.