compute.fisher: Combine independent p-values using the Fisher method
In ROntoTools: R Onto-Tools suite
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
Combine independent p-values using the Fisher method
Usage
1
compute.fisher(p, eps = 1e-06)
Arguments
p
a vector of independent p-values
eps
the minimal p-value considered (all p-values smaller will be set to this value)
Value
the combined p-value
Author(s)
Calin Voichita and Sorin Draghici
References
Tarca AL., Draghici S., Khatri P., Hassan SS., Kim J., Kim CJ., Kusanovic JP., Romero R.: "A Signaling Pathway Impact Analysis for Microarray Experiments", 2008, Bioinformatics, 2009, 25(1):75-82.
See Also
Examples
1
2
p <- c(.1, .01)
compute.fisher(p)
ROntoTools documentation built on Nov. 8, 2020, 7:41 p.m.
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Description Usage Arguments Value Author(s) References See Also Examples
Description
Combine independent p-values using the Fisher method
Usage
1 | compute.fisher(p, eps = 1e-06)
|
Arguments
p |
a vector of independent p-values |
eps |
the minimal p-value considered (all p-values smaller will be set to this value) |
Value
the combined p-value
Author(s)
Calin Voichita and Sorin Draghici
References
Tarca AL., Draghici S., Khatri P., Hassan SS., Kim J., Kim CJ., Kusanovic JP., Romero R.: "A Signaling Pathway Impact Analysis for Microarray Experiments", 2008, Bioinformatics, 2009, 25(1):75-82.
See Also
Examples
1 2 | p <- c(.1, .01)
compute.fisher(p)
|
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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