cum_freq_data {MetaVolcanoR} | R Documentation

## A data formating function for inverse-cummulative DEG distribution

### Description

This function counts how many genes consistly appears as DE along the input studies

### Usage

    cum_freq_data(meta_diffexp, nstud)

### Arguments

`meta_diffexp` | data.frame/data.table containing all the input studies
`nstud` | the number of inputed GEO2R outputs <integer>

### Value

`data.frame` inverse cummulative distribution

### Examples

    library(dplyr)
    data(diffexplist)
    diffexp <- lapply(diffexplist, function(...) deg_def(..., "pvalue",
               "Log2FC", 0.05, 0))
    diffexp <- rename_col(diffexp, "Symbol")
    meta_diffexp <- Reduce(function(...) merge(..., by = "Symbol", all = TRUE),
               diffexp)
    meta_diffexp %>%
    dplyr::select(dplyr::matches("deg_")) %>%
        data.matrix -> n_deg
    meta_diffexp[['ndeg']] <- rowSums(n_deg^2, na.rm = TRUE)
    cfd <- cum_freq_data(meta_diffexp, length(diffexplist))
    head(cfd, 3)

[Package MetaVolcanoR version 1.2.0 Index]