RankingWelchT: Ranking based on the Welch t statistic.
In GeneSelector: Stability and Aggregation of ranked gene lists

Description Usage Arguments Value Author(s) See Also Examples

Performs univariate (rowwise) Welch tests on a gene expression matrix. The Welch t statistic is a better alternative to the 'ordinary' t statistic in the two sample, unequal variances setting.

1	RankingWelchT(x, y, type = "unpaired", pvalues = TRUE, gene.names = NULL, ...)

`x`	A `matrix` of gene expression values with rows corresponding to genes and columns corresponding to observations or alternatively an object of class `ExpressionSet`.
`y`	If `x` is a matrix, then `y` may be a `numeric` vector or a factor with at most two levels. If `x` is an `ExpressionSet`, then `y` is a character specifying the phenotype variable in the output from `pData`.
`type`	Only the two sample case, `type="unpaired"` is possible. Otherwise, use RankingTstat. Variances are assumed to be unequal.
`pvalues`	Should p-values be computed ? Default is `TRUE`.
`gene.names`	An optional vector of gene names.
`...`	Currenly unused argument.

An object of class GeneRanking.

Martin Slawski
Anne-Laure Boulesteix

RepeatRanking, RankingTstat, RankingFC, RankingWilcoxon, RankingBaldiLong, RankingFoxDimmic, RankingLimma, RankingEbam, RankingWilcEbam, RankingSam, RankingShrinkageT, RankingSoftthresholdT, RankingPermutation

## Load toy gene expression data
data(toydata)
### class labels
yy <- toydata[1,]
### gene expression
xx <- toydata[-1,]
### run RankingWelch
welchT <- RankingWelchT(xx, yy, type="unpaired")

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