umx_cor: Report correlations and their p-values

In tbates/umx: Structural Equation Modeling and Twin Modeling in R

Report correlations and their p-values

Description

For reporting correlations and their p-values in a compact table. Handles rounding, and skipping non-numeric columns.

Usage

umx_cor(
  X,
  df = nrow(X) - 2,
  use = c("pairwise.complete.obs", "complete.obs", "everything", "all.obs",
    "na.or.complete"),
  digits = 2,
  type = c("r and p-value", "smart")
)

Arguments

X	a matrix or dataframe
df	the degrees of freedom for the test
use	how to handle missing data (defaults to pairwise complete)
digits	rounding of answers
type	Unused argument for future directions

Details

To compute heterochoric correlations, see umxHetCor().

note: The Hmisc package has a more robust function called rcorr.

Value

• Matrix of correlations and p-values

References

• https://github.com/tbates/umx

See Also

umxHetCor

Other Miscellaneous Stats Functions: FishersMethod(), SE_from_p(), geometric_mean(), harmonic_mean(), oddsratio(), reliability(), umx, umxCov2cor(), umxHetCor(), umxParan(), umxWeightedAIC(), umx_apply(), umx_means(), umx_r_test(), umx_round(), umx_scale(), umx_var()

Examples

tmp = myFADataRaw[1:8,1:8]
umx_cor(tmp)
tmp$x1 = letters[1:8] # make one column non-numeric
umx_cor(tmp)

tbates/umx documentation built on Dec. 14, 2024, 11:28 a.m.