R: Combining two p-values using Fisher's product or normal...
combfunc
R Documentation
Combining two p-values using Fisher's product or normal inversion method
Description
Combining two p-values using Fisher's product or normal inversion methods.
Usage
combfunc(p1=NULL,p2=NULL,combine="fisher")
Arguments
p1
A vector of probabilities.
p2
A vector of probabilities.
combine
A string with the name of the method to be used. Options include "fisher","norminv"
Details
Two vectors of p-values are combined into a vector of global p-values.
Value
A vector of p-values.
Author(s)
Adi Laurentiu Tarca <atarca@med.wayne.edu>, Purvesh Khatri, Sorin Draghici
References
Adi L. Tarca, Sorin Draghici, Purvesh Khatri, et. al, A Signaling Pathway Impact Analysis for
Microarray Experiments, 2008, Bioinformatics, 2009, 25(1):75-82.
See Also
spia
Examples
# Examples use colorectal cancer dataset
p1=c(0.2,0.4,0.1)
p2=c(0.01,0.7,0.01)
pG=combfunc(p1,p2,combine="fisher")
pG=combfunc(p1,p2,combine="norminv")
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
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Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(SPIA)
Loading required package: KEGGgraph
Attaching package: 'KEGGgraph'
The following object is masked from 'package:graphics':
plot
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/SPIA/combfunc.Rd_%03d_medium.png", width=480, height=480)
> ### Name: combfunc
> ### Title: Combining two p-values using Fisher's product or normal
> ### inversion method
> ### Aliases: combfunc
> ### Keywords: nonparametric methods
>
> ### ** Examples
>
> # Examples use colorectal cancer dataset
> p1=c(0.2,0.4,0.1)
> p2=c(0.01,0.7,0.01)
> pG=combfunc(p1,p2,combine="fisher")
> pG=combfunc(p1,p2,combine="norminv")
>
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> dev.off()
null device
1
>