RankingWilcoxon(GeneSelector)
RankingWilcoxon()所属R语言包：GeneSelector
Ranking based on the Wilcoxon statistic
综合秩统计
译者：生物统计家园网 机器人LoveR
描述----------Description----------
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.
秩统计排名为基础，“免费分发”。它是等效采用Mann-Whitney统计，也涉及到“曲线下面积（AUC）的，在两个样本的情况下。执行是有效的，但仍远远低于t-统计的慢。
用法----------Usage----------
RankingWilcoxon(x, y, type = c("unpaired", "paired", "onesample"), pvalues = FALSE, gene.names = NULL, ...)
参数----------Arguments----------
参数：x
A matrix of gene expression values with rows corresponding to genes and columns corresponding to observations or alternatively an object of class ExpressionSet.<br> 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.
一个matrix基因表达值与相应的基因和相应的意见，或者一个对象类ExpressionSet。参考列的行，如果type = "paired"上半年，列对应第一次测量和下半年第二。例如，如果有10个观测，每个测两次，表达矩阵expr，则expr[,1]expr[,11]，expr[,2]搭配expr[,12]存储 ，等等。
参数：y
If x is a matrix, then y may be a numeric vector or a factor with at most two levels.<br> If x is an ExpressionSet, then y is a character specifying the phenotype variable in the output from pData.<br> If type = "paired", take care that the coding is analogously to the requirement concerning x
x如果是一个矩阵，然后y可能是一个numeric矢量或在大多数两个级别的一个因素。参考如果x是ExpressionSet ，然后y是pData。参考型变量指定输出的字符，如果type = "paired"，照顾编码类似的要求是关于x
参数：type
"unpaired":two-sample test, Wilcoxon Rank Sum test is performed.
“未成”：两样本进行检验，Wilcoxon秩和检验。
"paired":Wilcoxon sign rank test is performed on the differences.
“配对”：Wilcoxon符号秩检验上的差异。
"onesample":y has only one level. The Wilcxon sign rank test for difference from zero is performed.
“onesample”：y只有一个级别。从零差价的Wilcxon符号秩检验。
参数：pvalues
Should p-values be computed ? Default is FALSE.
应的p值计算？默认FALSE。
参数：gene.names
An optional vector of gene names.
一个基因名称可选的向量。
参数：...
Currently unused argument.
目前未使用的参数。
值----------Value----------
An object of class GeneRanking.
对象类GeneRanking。
作者（S）----------Author(s)----------
Martin Slawski <br>
Anne-Laure Boulesteix
参见----------See Also----------
RepeatRanking, RankingTstat, RankingFC, RankingWelchT, RankingBaldiLong, RankingFoxDimmic, RankingLimma, RankingEbam, RankingWilcEbam, RankingSam, RankingShrinkageT, RankingSoftthresholdT,
RepeatRanking，RankingTstat，RankingFC，RankingWelchT，RankingBaldiLong，RankingFoxDimmic，RankingLimma，RankingEbam，RankingWilcEbam，RankingSam，RankingShrinkageT，RankingSoftthresholdT
举例----------Examples----------
## Load toy gene expression data[＃加载玩具基因表达数据]
data(toydata)
### class labels[＃＃类的标签]
yy <- toydata[1,]
### gene expression[＃＃基因表达]
xx <- toydata[-1,]
### run RankingWilcoxon[＃运行RankingWilcoxon]
wilcox <- RankingWilcoxon(xx, yy, type="unpaired")
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
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发表于 2012-2-25 19:04:41
