Description Usage Arguments Value See Also Examples
This functions evaluates the classification performance of a fitted "DRWPClassGM"
object.
1 | evaluate.DRWPClassGM(object, newx, newy.class1, newy.class2)
|
object |
Fitted |
newx |
A matrix with variables to predict. |
newy.class1 |
a integer vector comprising the indexes of class 1 samples in |
newy.class2 |
a integer vector comprising the indexes of class 2 samples in |
The classification performance of the predictions.
1 2 3 4 5 6 7 8 9 10 11 12 | data(GProf8511)
data(GProf3325)
data(MProf)
data(pathSet)
data(dGMGraph)
fit <- fit.DRWPClassGM(xG=GProf8511$mRNA_matrix, yG.class1=GProf8511$normal,
yG.class2=GProf8511$PCA, xM=MProf$Meta_matrix, yM.class1=MProf$normal,
yM.class2=MProf$PCA, DEBUG=TRUE, pathSet=pathSet, globalGraph=dGMGraph,
testStatistic="t-test", classifier = "Logistic", normalize = TRUE,
nFolds = 5, numTops=50, iter = 1, Gamma=0.7, Alpha = 0.5)
evaluate.DRWPClassGM(object=fit, newx=GProf3325$mRNA_matrix, newy.class1=GProf3325$normal,
newy.class2=GProf3325$PCA)
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