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

`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.

### Author(s)

Benjamin Haibe-Kains

### See Also

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

[Package genefu version 2.19.1 Index]