pcitC {CeTF} | R Documentation

## A helper to calculate PCIT implemented in C/C++

### Description

Calculates the correlation matrix using PCIT algorithm

### Usage

    pcitC(cor, tolType)

### Arguments

`cor` | A correlation matrix.
`tolType` | Type of tolerance (default: 'mean') given the 3 pairwise correlations (see `tolerance`.

### Value

Correlation matrix resulted from PCIT algorithm.

### See Also

(see `PCIT`)

### Examples

    library(Matrix)

    # loading a simulated normalized data
    data('simNorm')

    # calculating the correlation matrix
    suppressWarnings(gene_corr <- cor(t(simNorm[1:30, ])))
    gene_corr[is.na(gene_corr)] <- 0

    # getting the PCIT correlation results for first 30 genes
    results <- pcitC(cor = Matrix(gene_corr, sparse = TRUE),
                    tolType = 1)

[Package CeTF version 1.6.0 Index]