newBlockInformation: Create a list holding information about dividing data into...
In nosarcasm/WGCNA: Weighted Correlation Network Analysis

Description Usage Arguments Value Author(s) See Also

This function creates a list storing information about dividing data into blocks, as well as about possibly excluding genes or samples with excessive numbers of missing data.

1	newBlockInformation(blocks, goodSamplesAndGenes)

`blocks`	A vector giving block labels. It is assumed to be a numeric vector with block labels consecutive integers starting at 1.
`goodSamplesAndGenes`	A list returned by `goodSamplesGenes` or `goodSamplesGenesMS`.

A list with class attribute set to BlockInformation, with the following componens:

`blocks`	A copy of the input `blocks`.
`blockGenes`	A list with one component per block, giving the indices of elements in `block` whose value is the same.
`goodSamplesAndGenes`	A copy of input `goodSamplesAndGenes`.
`nGGenes`	Number of ‘good’ genes in `goodSamplesAndGenes`.
`gBlocks`	The input `blocks` restricted to ‘good’ genes in `goodSamplesAndGenes`.