seCovs: Compute standard error for covariance matrix
In iNZightVIT/iNZightMR: Tools for Exploring Multiple Response Data
seCovs R Documentation
Compute standard error for covariance matrix
Description
Compute the standard error information for a given covariance matrix.
Usage
seCovs(covs, addbase = FALSE)
Arguments
covs
covariance matrix
addbase
logical, is there a baseline?
Value
an ses.moecalc object
Author(s)
Junjie Zeng
Examples
seCovs(cov(iris[, -5]))
iNZightVIT/iNZightMR documentation built on May 4, 2024, 6:16 a.m.
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| seCovs | R Documentation |
Compute standard error for covariance matrix
Description
Compute the standard error information for a given covariance matrix.
Usage
seCovs(covs, addbase = FALSE)
Arguments
covs |
covariance matrix |
addbase |
logical, is there a baseline? |
Value
an ses.moecalc object
Author(s)
Junjie Zeng
Examples
seCovs(cov(iris[, -5]))
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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