umx (version 4.0.0)

umx_r_test: Test the difference between correlations for significance.

Description

umx_r_test is a wrapper around the cocor test of difference between correlations.

Usage

umx_r_test(
  data = NULL,
  vars = vars,
  alternative = c("two.sided", "greater", "less")
)

Arguments

data

The dataset.

vars

Four variables forming the two pairs of columns: "j & k" and "h & m".

alternative

A two (default) or one-sided (greater less) test.

Value

cocor result.

Details

Currently umx_r_test handles the test of whether r.jk and r.hm differ in magnitude. i.e, two non-overlapping (no variable in common) correlations in the same dataset. In the future it will be expanded to handle overlapping correlations, and to take correlation matrices as input.

See Also

Other Miscellaneous Stats Helpers: FishersMethod(), SE_from_p(), oddsratio(), reliability(), umxCov2cor(), umxHetCor(), umxWeightedAIC(), umx_apply(), umx_cor(), umx_means(), umx_round(), umx_scale(), umx_var(), umx

Examples

# NOT RUN {
# Is the correlation of mpg with cylinder count different from that 
# obtaining between disp and hp?
vars = c("mpg", "cyl", "disp", "hp")
umx_r_test(mtcars, vars)
# }