compute.pairw.cor.z {genefu} | R Documentation

## Function to compute the Z transformation of the pairwise correlations for a list of datasets

### Description

This function computes the Z transformation of the meta-estimate of pairwise correlation coefficients for a set of genes from a list of gene expression datasets.

### Usage

    compute.pairw.cor.z(datas, method = c("pearson"))

### Arguments

`datas` | List of datasets. Each dataset is a matrix of gene expressions with samples in rows and probes in columns, dimnames being properly defined. All the datasets must have the same probes.
`method` | Estimator for correlation coefficient, can be either pearson or spearman.

### Value

A list with items: -z Z transformation of the meta-estimate of correlation coefficients. -se Standard error of the Z transformation of the meta-estimate of correlation coefficients. -nn Number of samples used to compute the meta-estimate of correlation coefficients.

### See Also

map.datasets, compute.pairw.cor.meta, compute.proto.cor.meta

[Package genefu version 2.24.2 Index]