make_random_xina_data {XINA} | R Documentation

## make_random_xina_data

### Description

Generate random proteomics dataset for testing XINA 'make_random_xina_data' will make random proteomics data for XINA test. The generated data will have three conditions and seven time points, c("0hr", "2hr", "6hr", "12hr", "24hr", "48hr", "72hr").

### Usage

    make_random_xina_data(n = 500, mtor = TRUE, time_points = c("0hr",
      "2hr", "6hr", "12hr", "24hr", "48hr", "72hr"),
      conditions = c("Control", "Stimulus1", "Stimulus2"))

### Arguments

`n` | The number of proteins for one condition. Default is 500.
`mtor` | If it is TRUE (default), mTOR pathway genes will be significant. If it is FALSE, randomly selected genes will be significant in first three conditions.
`time_points` | A vector containing time points of the data matrix
`conditions` | A vector containing condition information, for example normal, disease and drug treated disase.

### Value

Three comma-separated files containing time-series data for XINA

### Examples

    make_random_xina_data()
    g1 <- read.csv("Control.csv", check.names=FALSE,
    stringsAsFactors = FALSE)
    g2 <- read.csv("Stimulus1.csv", check.names=FALSE,
    stringsAsFactors = FALSE)
    g3 <- read.csv("Stimulus2.csv", check.names=FALSE,
    stringsAsFactors = FALSE)

    head(g1)
    head(g2)
    head(g3)

[Package XINA version 1.4.0 Index]