simulatedtstat: t-Statistics and p-Values from a Simulated Microarray Data...
In pi0: Estimating the Proportion of True Null Hypotheses for FDR
Description
Usage
Format
Details
References
See Also
Examples
Description
These are the results from applying t-tests to the simulated data set simulatedDat.
Usage
1
2
Format
A numeric vector of two-sample t-statistics of length 5000.
Details
This is the result from calling
data(simulatedDat)
simulatedTstat=matrix.t.test(simulatedDat,tOnly=TRUE)
simulatedPval=matrix.t.test(simulatedDat)
References
Qu, L., Nettleton, D., Dekkers, J.C.M. Subsampling Based Bias Reduction in Estimating the Proportion of
Differentially Expressed Genes from Microarray Data. Unpublished manuscript.
See Also
Examples
1
2
pi0 documentation built on July 9, 2017, 9:01 a.m.
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Description Usage Format Details References See Also Examples
Description
These are the results from applying t-tests to the simulated data set simulatedDat.
Usage
1 2 |
Format
A numeric vector of two-sample t-statistics of length 5000.
Details
This is the result from calling
data(simulatedDat)
simulatedTstat=matrix.t.test(simulatedDat,tOnly=TRUE)
simulatedPval=matrix.t.test(simulatedDat)
References
Qu, L., Nettleton, D., Dekkers, J.C.M. Subsampling Based Bias Reduction in Estimating the Proportion of Differentially Expressed Genes from Microarray Data. Unpublished manuscript.
See Also
Examples
1 2 |
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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