cor2cov: Convert a correlation matrix and standard deviations into a...
In maxwestphal/SIMPle: Simultaneous Inference for Multiple Proportions
cor2cov R Documentation
Convert a correlation matrix and standard deviations into a covariance matrix.
Description
Convert a correlation matrix and standard deviations into a covariance matrix.
Usage
cor2cov(rho, sigma)
Arguments
rho
matrix, the underlying correlation matrix.
sigma
numeric, vector of standard deviations.
Details
Copied implementation from psych::cor2cov, adapted to work with length(sigma)==1
Value
The corresponding covariance matrix.
maxwestphal/SIMPle documentation built on April 11, 2024, 4:07 p.m.
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| cor2cov | R Documentation |
Convert a correlation matrix and standard deviations into a covariance matrix.
Description
Convert a correlation matrix and standard deviations into a covariance matrix.
Usage
cor2cov(rho, sigma)
Arguments
rho |
|
sigma |
|
Details
Copied implementation from psych::cor2cov, adapted to work with length(sigma)==1
Value
The corresponding covariance matrix.
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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