modelselPlot {epoc} | R Documentation |
Plot BIC, Mallow's Cp and \lambda
Description
Plot BIC, Mallow's Cp and \lambda
Usage
modelselPlot(x, layout=NULL, k=1, showtitle=F, bthr=0,
showself=F, type=c('graph','modelsel'), ...)
## S3 method for class 'EPOCA'
plot(x, layout=NULL, k=1, showtitle=F, bthr=0,
showself=F, type=c('graph','modelsel'), ...)
## S3 method for class 'EPOCG'
plot(x, layout=NULL, k=1, showtitle=F, bthr=0,
showself=F, type=c('graph','modelsel'), ...)
Arguments
x |
An EPoC G or EPoC A object |
layout |
Not used only for |
k |
Not used for |
showtitle |
Not used for |
bthr |
Not used for |
showself |
Not used for |
type |
This page documents |
... |
Parameters passed down to underlying functions, |
Details
Creates a plot that aids in model selection.
Scale Bayesian information criterion (BIC) and Mallow's C_p
between zero on one and put that on the y-axis and put relative \lambda
values on the x-axis.
References
Rebecka Jörnsten, Tobias Abenius, Teresia Kling, Linnéa Schmidt, Erik Johansson, Torbjörn Nordling, Bodil Nordlander, Chris Sander, Peter Gennemark, Keiko Funa, Björn Nilsson, Linda Lindahl, Sven Nelander. (2011) Network modeling of the transcriptional effects of copy number aberrations in glioblastoma. Molecular Systems Biology 7 (to appear)