RankingTstat {GeneSelector} | R Documentation |
Ranking based on the 'ordinary' t statistic.
Description
Performs univariate (rowwise) t tests on a gene expression matrix.
Usage
RankingTstat(x, y, type = c("unpaired", "paired", "onesample"), pvalues = TRUE, gene.names = NULL, ...)
Arguments
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.
|
Value
An object of class GeneRanking.
Author(s)
Martin Slawski
Anne-Laure Boulesteix
See Also
RepeatRanking, RankingFC, RankingWelchT, RankingWilcoxon,
RankingBaldiLong, RankingFoxDimmic, RankingLimma,
RankingEbam, RankingWilcEbam, RankingSam,
RankingShrinkageT, RankingSoftthresholdT,
RankingPermutation
Examples
## 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")
[Package
GeneSelector version 2.30.0
Index]