MarrProc {marr} | R Documentation

## MarrProc

### Description

This function is a helper function that computes distributions of reproducible sample pairs per feature and reproducible features per sample pair for the function `Marr`.

### Usage

    MarrProc(object, alpha = 0.05)

### Arguments

`object` | an object which is a `matrix` or `data.frame` with features (e.g. metabolites or genes) on the rows and samples as the columns. Alternatively, a user can provide a `SummarizedExperiment` object and the `assay(object)` will be used as input for the Marr procedure.
`alpha` | (Optional) level of significance to control the False Discovery Rate (FDR). Default is 0.05.

### Value

A list of percent reproducible statistics including

`samplepairs` | the distribution of percent reproducible features (column-wise) per sample pair
`features` | the distribution of percent reproducible sample pairs (row-wise) per feature

### Examples

    data <- matrix(rnorm(2400), nrow=200, ncol=12)
    data_MarrProc <- MarrProc(object=data, alpha = 0.05)

[Package marr version 1.2.0 Index]