PlotErrors: Plot the mean CV errors.
In sigFeature: sigFeature: Significant feature selection using SVM-RFE & t-statistic

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

A useful function for plotting the errors which is enumerated by using the function sigCVError().

1	PlotErrors(featsweepSigFe, ylim.min=0, ylim.max=0)

featsweepSigFe

a list variable containing the gamma, cost, error, dispersion values.

The format is:
    List of 1
    ...
    $ :List of 3
        ..$ svm.list:List of 1
        .. ..$ :data.frame: 1 obs. of  4 variables:
        .. .. ..$ gamma     : num 0.000244
        .. .. ..$ cost      : num 0.001
        .. .. ..$ error     : num 0.5
        .. .. ..$ dispersion: num NA
        ..$ error   : num 0.367
        ..$ errorSD : num 0.233

ylim.min

minimum y label value in the graph.

ylim.max

maximum y label value in the graph.

This plot function will show the errors.

returns plot.

Pijush Das <topijush@gmail.com>, et al.

Chang, Chih-Chung and Lin, Chih-Jen: LIBSVM 2.0: Solving Different Support Vector Formulations. http://www.csie.ntu.edu.tw/~cjlin/papers/libsvm2.ps.gz

Chang, Chih-Chung and Lin, Chih-Jen:Libsvm: Introduction and Benchmarks, http://www.csie.ntu.edu.tw/~cjlin/papers/q2.ps.gz

svm, svm.fs

# Example for PlotErrors()
# Data set taken from GSE2280

data(featsweepSigFe)
dim(featsweepSigFe)

#For plotting the mean external cross validation
#error and the standard deviation of the of the
#miss classifications of top 400 features.
PlotErrors(featsweepSigFe, 0, 0.4)