RankingTstat: Ranking based on the 'ordinary' t statistic.
In GeneSelector: Stability and Aggregation of ranked gene lists

Description Usage Arguments Value Author(s) See Also Examples

Performs univariate (rowwise) t tests on a gene expression matrix.

1	RankingTstat(x, y, type = c("unpaired", "paired", "onesample"), 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.
If type = "paired", the first half of the columns corresponds to the first measurements and the second half to the second ones. For instance, if there are 10 observations, each measured twice, stored in an expression matrix expr, then expr[,1] is paired with expr[,11], expr[,2] with expr[,12], and so on.

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.
If type = "paired", take care that the coding is analogously to the requirement concerning x.

`type`	"unpaired": two-sample test, equal variances assumed. For unequal variances, use RankingWelchT. "paired": paired test. Take care that the coding of `y` is correct (s. above). "onesample": `y` has only one level. Test whether the true mean is different from zero.
`pvalues`	Should p-values be computed ? Default is `TRUE`.
`gene.names`	An optional vector of gene names.
`...`	Currently unused argument.

An object of class GeneRanking.

Martin Slawski
Anne-Laure Boulesteix

RepeatRanking, RankingFC, RankingWelchT, 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 RankingTstat
ordT <- RankingTstat(xx, yy, type="unpaired")