Description Usage Arguments Value
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 |
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 |
dataframe
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