RankingWilcoxon {GeneSelector} | R Documentation |
The Wilcoxon statistic is rank-based and 'distribution free'. It is equivalent to the Mann-Whitney statistic and also related to the 'area under the curve' (AUC) in the two sample case. The implementation is efficient, but still far slower than that of the t-statistic.
RankingWilcoxon(x, y, type = c("unpaired", "paired", "onesample"), pvalues = FALSE, gene.names = NULL, ...)
x |
A |
y |
If |
type |
|
pvalues |
Should p-values be computed ? Default is |
gene.names |
An optional vector of gene names. |
... |
Currently unused argument. |
An object of class GeneRanking.
Martin Slawski
Anne-Laure Boulesteix
RepeatRanking, RankingTstat, RankingFC, RankingWelchT, 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 RankingWilcoxon wilcox <- RankingWilcoxon(xx, yy, type="unpaired")