SWAP.Kby.Ttest: K selection for a kTSP classifier.
In switchBox: Utilities to train and validate classifiers based on pair switching using the K-Top-Scoring-Pair (KTSP) algorithm

SWAP.Kby.Ttest can be supplied to a kTSP classifier training function to select an optimal k via performing t-tests.

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SWAP.Kby.Ttest(inputMat, phenoGroup, 
  scoreTable, classes, krange, 
  k_opts=list())

`inputMat`	is a numerical matrix containing the measurements (e.g., gene expression data) to be used to build the K-TSP classifier.
`phenoGroup`	is a factor with two levels containing the phenotype information used to train the K-TSP classifier.
`scoreTable`	a data frame output of `SWAP.MakeTSPTable` containing TSPs and the accuracy of individuals pairs over the training data.
`classes`	is a character vector of length 2 providing the phenotype class labels (case followed by control). If NULL, the levels of phenoGroup will be taken as the labels.
`krange`	an integer (or a vector of integers) defining the candidate number of Top Scoring Pairs (TSPs) from which the algorithm chooses to build the final classifier.
`k_opts`	is not used and is left for conforming to the arguments of `k_selection_fn`.

A vector of indices of length k indicating which pairs from scoreTable should be selected.

See switchBox for the references.

switchBox documentation built on Nov. 8, 2020, 5:43 p.m.

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