| stamPrediction-class {stam} | R Documentation |
Object of this class are returned by stam.predict and contain prediction
results as they are computed by structured analysis of microarray data.
Objects can be created by calls of the form
new("stamPrediction", fit, expr.mat, cls, testset), but using
stam.predict is recommended.
chip:"character", the name of the chip for
which the classifier net is generated.nodes:"list", elements are of class
stamINode or stamLeaf, one for each remaining node in the classifier
net.class.labels:"character", one name for each
classbest.delta:"numeric", shrinkage level used for
computingcls:"character", class names for
each sampleprobs:"array", matrix of prediction
probabilities [samples x classes x nodes]predicts:"character", overall prediction for
each sampletestset:"numeric", indeces of samples which
belong to the test set. The other samples are assumed to be the traiing set.node.results:"list", performance, redundancy,
sensitivity and specificity per nodesignature(x = "stamPrediction"): molecular symptoms image, see
image.stamPrediction for detailssignature(x = "stamPrediction"): print information on predictionsignature(x = "stamPrediction"): generate HTML information
on prediction, but using stam.writeHTML is recommendedClaudio Lottaz
stam.predict, image.stamPrediction,
stam.writeHTML