matrix.padjust: matrix.padjust
In microbiome/microbiomeold: Tools for microbiome analysis
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
Calculate adjusted p-values for a matrix of pvalues
which may contain missing values.
Usage
1
matrix.padjust(pvals, p.adjust.method = "BH")
Arguments
pvals
p-value matrix
p.adjust.method
p-value adjustment method: for options, see ?p.adjust
Value
Adjusted p-value matrix
Author(s)
Leo Lahti microbiome-admin@googlegroups.com
References
JD Storey 2003. Ann. Statist. 31(6):2013-2035. The positive false
discovery rate: a Bayesian interpretation and the q-value.
To cite the microbiome R package, see citation('microbiome')
Examples
1
qvals <- matrix.padjust(matrix(runif(1000), nrow = 100))
microbiome/microbiomeold documentation built on May 22, 2019, 9:57 p.m.
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Description Usage Arguments Value Author(s) References Examples
Description
Calculate adjusted p-values for a matrix of pvalues which may contain missing values.
Usage
1 | matrix.padjust(pvals, p.adjust.method = "BH")
|
Arguments
pvals |
p-value matrix |
p.adjust.method |
p-value adjustment method: for options, see ?p.adjust |
Value
Adjusted p-value matrix
Author(s)
Leo Lahti microbiome-admin@googlegroups.com
References
JD Storey 2003. Ann. Statist. 31(6):2013-2035. The positive false discovery rate: a Bayesian interpretation and the q-value.
To cite the microbiome R package, see citation('microbiome')
Examples
1 | qvals <- matrix.padjust(matrix(runif(1000), nrow = 100))
|
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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