VCVr: Correlation Coefficent for common control
In meredithakrause/metagear-expansion: metagearcomcon
Description
Usage
Arguments
Value
Description
VCVr calculates the variance and covariance of r for two data inputs that share the X, SD, and N of a control group and returns these values as a vector.
Usage
1
VCVr(x)
Arguments
r_ij
Column label for the correlation coefficent (r) of two variables i and j
r_ik
Column label for the correlation coefficient of two variables i and k
r_jk
Column label for the correlation coefficient of two variables j and k
n
Column label for the sample size
Value
Variance and covariance of r
meredithakrause/metagear-expansion documentation built on May 22, 2019, 6:51 p.m.
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Description Usage Arguments Value
Description
VCVr calculates the variance and covariance of r for two data inputs that share the X, SD, and N of a control group and returns these values as a vector.
Usage
1 | VCVr(x)
|
Arguments
r_ij |
Column label for the correlation coefficent (r) of two variables i and j |
r_ik |
Column label for the correlation coefficient of two variables i and k |
r_jk |
Column label for the correlation coefficient of two variables j and k |
n |
Column label for the sample size |
Value
Variance and covariance of r
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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