inv.normal: Apply the inverse normal method.
In survJamda: Survival Prediction by Joint Analysis of Microarray Gene Expression Data
Description
Usage
Arguments
Value
Warning
Author(s)
References
Description
Apply the inverse normal method (Hedges and Olkin, 1985). For each data set, combine the Z-scores or Z-tests and divide them by the square root of the sample size of the data set.
Usage
1
inv.normal(i, zstat)
Arguments
i
Vector of integer variables containing the indices of data sets.
zstat
List of numeric vectors representing Z-tests or Z-scores.
Value
Vector of combined Z-tests.
Warning
This function is not called by the user directly.
Author(s)
Haleh Yasrebi
References
L. V. Hedges and I. Olkin. Statistical Methods for Meta-Analysis. Academic Press,January 1985. ISBN 0123363802.
survJamda documentation built on May 1, 2019, 8:50 p.m.
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Description Usage Arguments Value Warning Author(s) References
Description
Apply the inverse normal method (Hedges and Olkin, 1985). For each data set, combine the Z-scores or Z-tests and divide them by the square root of the sample size of the data set.
Usage
1 | inv.normal(i, zstat)
|
Arguments
i |
Vector of integer variables containing the indices of data sets. |
zstat |
List of numeric vectors representing Z-tests or Z-scores. |
Value
Vector of combined Z-tests.
Warning
This function is not called by the user directly.
Author(s)
Haleh Yasrebi
References
L. V. Hedges and I. Olkin. Statistical Methods for Meta-Analysis. Academic Press,January 1985. ISBN 0123363802.
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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