plot.EPoC.validation {epoc}R Documentation

Plot model validation criteria

Description

Plot model validation criteria

Usage

  ## S3 method for class 'EPoC.validation.W'
plot(x, ...)
  ## S3 method for class 'EPoC.validation.pred'
plot(x, ...)

Arguments

x

An object of type EPoC.validation.W or EPoC.validation.W respectively.

...

Parameters passed down to underlying functions, plot, lines, points, abline.

Details

Plot Kendall W or prediction error, respectively on the y-axis, network size on the upper x-axis and \lambda on the lower x-axis. The plot fit a loess model of degree 1 to the points from the input object and finds the largest network size and corresponding \lambda such that W is maximized or prediction error is minimized, respectively.

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)

See Also

epoc, epoc.validation, plot.default


[Package epoc version 0.2.6-1.1 Index]