Description
Usage
Arguments
Value
Author(s)
See Also
Examples
The Wilcoxon statistic is rankbased and 'distribution free'.
It is equivalent to the MannWhitney 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 tstatistic.
 (x, y, = ("unpaired", "paired", "onesample"), pvalues = , gene.names = , )

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":
twosample test, Wilcoxon Rank Sum test
is performed.
 "paired":
Wilcoxon sign rank test is performed
on the differences.
 "onesample":
y has only one level.
The Wilcxon sign rank test for difference from zero is
performed.

pvalues 
Should pvalues be computed ? Default is FALSE .

gene.names 
An optional vector of gene names.

... 
Currently unused argument.

An object of class GeneRanking.
Martin Slawski
AnneLaure Boulesteix
RepeatRanking, RankingTstat, RankingFC, RankingWelchT,
RankingBaldiLong, RankingFoxDimmic, RankingLimma,
RankingEbam, RankingWilcEbam, RankingSam,
RankingShrinkageT, RankingSoftthresholdT,
RankingPermutation
 ## Load toy gene expression data
()
### class labels
yy < [1,]
### gene expression
xx < 1,]
### run RankingWilcoxon
wilcox < (xx, yy, ="unpaired")

GeneSelector documentation built on May 1, 2019, 11:35 p.m.