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

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

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