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 |
... |
Parameters passed down to underlying functions, |
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