Last data update: 2014.03.03

R: Plotting of a ROTS object
plot.ROTSR Documentation

Plotting of a ROTS object

Description

Plots the ROTS objects created with the ROTS package.

Usage

  ## S3 method for class 'ROTS'
plot(x, fdr=0.05, type="volcano", ...)

Arguments

x

A ROTS object created from differential expression testing run by ROTS.

fdr

Selected cutoff for FDR value.

type

Type of plot to be created. Options are volcano (default) and heatmap.

...

Other arguments passed to the plot function.

Details

This function plots the results from a ROTS object using given false discovery rate threshold.

Value

Plots the results from ROTS object.

Author(s)

Fatemeh Seyednasrollah, Tomi Suomi, Laura L. Elo Maintainer: Fatemeh Seyednasrollah <fatsey@utu.fi>

See Also

affySpikeIn

Examples

  ## ROTS-statistic for the Affymetrix spike-in data. 
  rots.out <- ROTS(data = affySpikeIn, groups = c(rep(0,5), rep(1,5)),
      B = 100, K = 500 , seed = 1234)
  ## Plotting of the ROTS results.
  plot(rots.out)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(ROTS)
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/ROTS/plot.ROTS.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plot.ROTS
> ### Title: Plotting of a ROTS object
> ### Aliases: plot.ROTS
> ### Keywords: math
> 
> ### ** Examples
> 
>   ## ROTS-statistic for the Affymetrix spike-in data. 
>   rots.out <- ROTS(data = affySpikeIn, groups = c(rep(0,5), rep(1,5)),
+       B = 100, K = 500 , seed = 1234)
Bootstrapping samples
Optimizing parameters
Calculating p-values
Calculating FDR
>   ## Plotting of the ROTS results.
>   plot(rots.out)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>