sigmaManyToOne {informativeSCI} | R Documentation |
Calculation of the Covariance Matrix for a Many-to-one-Comparison
Description
The function calculates the covariance matrix for many-to-one-comparisons. The covariance matrix is calculated for the point estimators, each defined by the difference between the empirical mean of one of the experimental groups and the empirical mean of the control group.
Usage
sigmaManyToOne(sampleSizes, sampleSizeControl, varObs, checkInput = TRUE)
Arguments
sampleSizes |
A numeric vector indicating the sample size of each non-control group. |
sampleSizeControl |
A numeric indicating the sample size of the control group. |
varObs |
A positive numeric indicating the variance of the individual observations. |
checkInput |
A boolean specifying whether the entered values should be checked. |
Value
Returns covariance matrix.
Examples
sigmaManyToOne(sampleSizes=c(89,95), sampleSizeControl=77,
varObs=10)
[Package informativeSCI version 1.0.3 Index]