cov.orc: Observed Residual Covariances
In recmetrics: Psychometric Evaluation Using Relative Excess Correlations
cov.orc R Documentation
Observed Residual Covariances
Description
Compute observed residual covariances (ORC) matrix among observed residuals
for variables supplied data.
Usage
cov.orc(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.orc(SCWB[, 1:20])
recmetrics documentation built on May 29, 2024, 6:02 a.m.
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| cov.orc | R Documentation |
Observed Residual Covariances
Description
Compute observed residual covariances (ORC) matrix among observed residuals for variables supplied data.
Usage
cov.orc(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.orc(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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