umx (version 1.9.1)

umxHetCor: Create a matrix of correlations for variables of diverse types (binary, ordinal, continuous)

Description

umxHetCor Helper to return just the correlations from John Fox's polycor::hetcor function

Usage

umxHetCor(data, ML = FALSE, use = c("pairwise.complete.obs",
  "complete.obs"), treatAllAsFactor = FALSE, verbose = FALSE)

Arguments

data

A data.frame of columns for which to compute heterochoric correlations

ML

Whether to use Maximum likelihood computation of correlations (default = FALSE)

use

How to handle missing data: "complete.obs" (Default), "pairwise.complete.obs"

treatAllAsFactor

Whether to treat all columns as factors, whether they are or not.

verbose

How much to tell the user about what was done.

Value

- A matrix of correlations

References

-

See Also

Other Data Functions: umxCovData, umxFactor, umxPadAndPruneForDefVars, umx_as_numeric, umx_cont_2_quantiles, umx_cov2raw, umx_long2wide, umx_lower2full, umx_make_MR_data, umx_make_TwinData, umx_make_bin_cont_pair_data, umx_make_fake_data, umx_merge_CIs, umx_read_lower, umx_reorder, umx_residualize, umx_round, umx_scale_wide_twin_data, umx_scale, umx_swap_a_block, umx_wide2long, umx

Examples

# NOT RUN {
umxHetCor(mtcars[,c("mpg", "am")])
umxHetCor(mtcars[,c("mpg", "am")], treatAllAsFactor = FALSE, verbose = TRUE)
# }

Run the code above in your browser using DataCamp Workspace