cov.rec: Relative Excess Covariances
In recmetrics: Psychometric Evaluation Using Relative Excess Correlations
cov.rec R Documentation
Relative Excess Covariances
Description
Compute relative excess covariances (REC) matrix among variables in supplied
data.
Usage
cov.rec(data, na.rm = TRUE)
Arguments
data
A data.frame or tibble
na.rm
logical (defaults to TRUE)
Details
![[Experimental]](../help/figures/lifecycle-experimental.svg)
Value
A numeric matrix of correlations among variable residuals.
Examples
# Use the SCWB data example
data(SCWB)
cov.rec(SCWB[, 1:20])
recmetrics documentation built on May 29, 2024, 6:02 a.m.
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| cov.rec | R Documentation |
Relative Excess Covariances
Description
Compute relative excess covariances (REC) matrix among variables in supplied data.
Usage
cov.rec(data, na.rm = TRUE)
Arguments
data |
A data.frame or tibble |
na.rm |
logical (defaults to TRUE) |
Details
Value
A numeric matrix of correlations among variable residuals.
Examples
# Use the SCWB data example
data(SCWB)
cov.rec(SCWB[, 1:20])
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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