R: Combine independent p-values using the normal inversion...
compute.normalInv
R Documentation
Combine independent p-values using the normal inversion method
Description
Combine independent p-values using the normal inversion method
Usage
compute.normalInv(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., Romero R.: "A Mmore Specific Method To Combine Perturbation and Over-representation Evidence in Pathway Analysis", PSB 2010 poster.
See Also
pe,compute.fisher
Examples
p <- c(.1, .01)
compute.normalInv(p)
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)
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> library(ROntoTools)
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
rbind, rownames, sapply, setdiff, sort, table, tapply, union,
unique, unsplit
Loading required package: boot
Loading required package: KEGGREST
Loading required package: KEGGgraph
Attaching package: 'KEGGgraph'
The following object is masked from 'package:graphics':
plot
Loading required package: Rgraphviz
Loading required package: grid
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/ROntoTools/compute.normalInv.Rd_%03d_medium.png", width=480, height=480)
> ### Name: compute.normalInv
> ### Title: Combine independent p-values using the normal inversion method
> ### Aliases: compute.normalInv
>
> ### ** Examples
>
>
> p <- c(.1, .01)
> compute.normalInv(p)
[1] 0.005368095
>
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>
>
>
>
> dev.off()
null device
1
>