tool.metap {Mergeomics} | R Documentation

## Estimate meta P-values

### Description

`tool.metap` returns the meta p-values of given datasets with multiple p-values.

### Usage

    tool.metap(datasets, idcolumn, pcolumn, weights = NULL)

### Arguments

`datasets` | data list, whose meta p-values will be obtained
`idcolumn` | column number of the datasets that includes identities
`pcolumn` | column number of the datasets that includes p-values
`weights` | weight list of the data list

### Value

`res` | data list including identities and meta p-values of the given `datasets`

### Author(s)

Ville-Petteri Makinen

### Examples

    set.seed(1)
    ## let us assume we have p-values for the coexpr modules obtained from
    ## distinct analyses by using different gene-marker mapping sets (e.g. eQTLs
    ## from diff tissues) and we would like to make a meta-analysis for
    ## these multiple Pvalues of the modules:
    datasets=list()
    ## we have 3 datasets and 3 diff result sets
    datasets[[1]] <- data.frame(MODULE=c("Mod1", "Mod2", "Mod3", "Mod4"),
    P=c(rnorm(4)))
    datasets[[2]] <- data.frame(MODULE=c("Mod1", "Mod2", "Mod3", "Mod4"),
    P=c(rnorm(4)))
    datasets[[3]] <- data.frame(MODULE=c("Mod1", "Mod2", "Mod3", "Mod4"),
    P=c(rnorm(4)))
    idcolumn <- "MODULE" ## identifiers of the modules are in the 1st col
    pcolumn <- "P" ## p values of the modules are in the 2nd col
    tool.metap(datasets, idcolumn, pcolumn)

[Package Mergeomics version 1.18.0 Index]