ECDFPlot: Plot empirical cumulative distribution function for...

Description Usage Arguments Value Author(s) Examples

View source: R/ECDFPlot.R

Description

ECDFPlot generates empirical cumulative distribution functions (ECDF) for gene-gene correlation values.

Usage

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ECDFPlot(X, Y, index = "all", col.X = "red", col.Y = "black", title,
  legend)

Arguments

X

A matrix or list of matrices of estimated gene-gene correlations.

Y

A matrix of reference gene-gene correlations (i.e. underlying known correlation structure).

index

A vector of indicies of genes of interest.

col.X

The color or colors for ECDF as estimated from X.

col.Y

The color for ECDF as estimated from Y.

title

A character string describing title of plot.

legend

A vector describing X and Y.

Value

ECDFPlot returns a plot.

Author(s)

Saskia Freytag

Examples

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Y<-simulateGEdata(500, 500, 10, 2, 5, g=NULL, Sigma.eps=0.1, 250, 100, check.input=FALSE)
Y.hat<-RUVNaiveRidge(Y, center=TRUE, nc_index=251:500, 0, 10, check.input=TRUE)
Y.hat.cor<-cor(Y.hat)
ECDFPlot(Y.hat.cor, Y$Sigma, index=1:100, title="Simulated data", legend=c("RUV", "Truth"))
ECDFPlot(list(Y.hat.cor, cor(Y$Y)), Y$Sigma, index=1:100,
title="Simulated data", legend=c("RUV", "Raw", "Truth"), col.Y="black")

PeteHaitch/RUVcorr documentation built on May 9, 2017, 5:43 p.m.