| umx_r_test {umx} | R Documentation |
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 |
Three or 4 variables forming the two pairs of columns. |
alternative |
A two (default) or one-sided (greater less) test. |
Details
Non-overlapping (no variable in common) correlations in the same dataset.
If 4 variables are provided in vars, umx_r_test conducts a test of
the correlation of var 1 & 2 differs in magnitude from the correlation of var 3 with var 4.
(r.jk and r.hm in cocor speak).
Overlapping (1 variable in common) correlations in the same dataset.
If 3 variables are provided in vars, umx_r_test conducts a test of whether
the correlation of var 1 & 2 differs in magnitude from the correlation of var 1 with var 3.
(r.jk and r.jh in cocor speak).
In the future it will be expanded to handle other correlations, and to take correlations as input.
Value
cocor result.
See Also
Other Miscellaneous Stats Functions:
FishersMethod(),
SE_from_p(),
geometric_mean(),
harmonic_mean(),
oddsratio(),
reliability(),
umxCov2cor(),
umxHetCor(),
umxParan(),
umxWeightedAIC(),
umx_apply(),
umx_cor(),
umx_means(),
umx_round(),
umx_scale(),
umx_var(),
umx
Examples
# 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)
umx_r_test(mtcars, c("mpg", "disp", "hp"))