summary.ktsp: Summary of ktsp object

Description Usage Arguments Details Value Note Author(s) References See Also Examples

Description

This function summarizes a ktsp object.

Usage

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summary.ktsp(object, select = NULL, printall = FALSE,...)

Arguments

object

A ktsp object.

select

To obtain the summary for only a single TSP in the k-TSP.

printall

If the summary for the whole method k-TSP or if all the summary of the TSPs should be ploted in succession.

...

Plotting arguments, not used

Details

It is possible to obtain the summary of one TSP present in the k-TSP via the variable select. To obtain the summary of all the TSPs in succession one should use the variable printall with the value TRUE. By default, a summary of the whole method k-TSP will be ploted.

Value

No value is returned. Only a table is ploted.

Note

It has the same effect to write "summary.ktsp(x)" or "summary(x)" for a ktsp object x.

Author(s)

Julien Damond julien.damond@gmail.com

References

D. Geman, C. d'Avignon, D. Naiman and R. Winslow, "Classifying gene expression profiles from pairwise mRNA comparisons," Statist. Appl. in Genetics and Molecular Biology, 3, 2004.

A.C. Tan, D.Q. Naiman, L. Xu, R.L. Winslow, D. Geman, "Simple decision rules for classifying human cancers from gene expression profiles," Bioinformatics, 21: 3896-3904, 2005.

J. Damond, supervised by S. Morgenthaler and S. Hosseinian, "Presentation and study of robustness for several methods to classify individuals based on their gene expressions", Master thesis, Swiss Federal Institute of Technology Lausanne (Switzerland), 2011.

J. Damond, S. Morgenthaler, S. Hosseinian, "The robustness of the TSP and the k-TSP and the computation of ROC curves", paper is submitted in Bioinformatics, December 2011.

Jeffrey T. Leek <jtleek@jhu.edu> (). tspair: Top Scoring Pairs for Microarray Classification. R package version 1.10.0.

See Also

ktspcalc, ktspplot,predict.ktsp, summary.ktsp

Examples

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  ## Not run: 
  ## Load data
  data(ktspdata) 
  ktsp <- kts.pair(dat,grp,3)
  summary.ktsp(ktsp, select=1)
  summary(ktsp, select=1)
  summary(ktsp, printall=FALSE)
  summary(ktsp, printall=TRUE)
 
## End(Not run)


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