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R语言 siggenes包 wilc.ebam()函数中文帮助文档(中英文对照)

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发表于 2012-2-26 14:16:14 | 显示全部楼层 |阅读模式
wilc.ebam(siggenes)
wilc.ebam()所属R语言包:siggenes

                                        EBAM Analysis Using Wilcoxon Rank Statistics
                                         EBAM分析使用Wilcoxon秩统计

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

Generates the required statistics for an Empirical Bayes Analysis of Microarrays analysis using standardized Wilcoxon rank statistics.
使用微阵列技术分析的经验Bayes标准化秩统计分析,生成所需的统计资料。

Should not be called directly, but via ebam(..., method = wilc.ebam).
不应直接调用,而是通过ebam(...,方法= wilc.ebam)。


用法----------Usage----------


   wilc.ebam(data, cl, approx50 = TRUE, ties.method = c("min", "random",
       "max"), use.offset = TRUE, df.glm = 5, use.row = FALSE, rand = NA)



参数----------Arguments----------

参数:data
a matrix or a data frame. Each row of data must correspond to a variable (e.g., a gene), and each column to a sample (i.e.\ an observation).
矩阵或一个数据框。每行data必须符合变量(例如,一个基因),每个样品的列(即\观察)。


参数:cl
a numeric vector of length ncol(data) containing the class labels of the samples. In the two class paired case, cl can also  be a matrix with ncol(data) rows and 2 columns. For details on how cl should be specified, see ebam.
一个长度为数字向量ncol(data)样品含有类的标签。在这两个类的配对病例,cl也可以是一个ncol(data)行2列的矩阵。如何cl应指定的详细信息,请参阅ebam。


参数:approx50
if TRUE, the null distribution will be approximated by the standard normal distribution. Otherwise, the exact null distribution is computed. This argument will automatically be set to FALSE if there are less than 50 samples in each of the groups.
如果TRUE,空分布将近似标准正态分布。否则,计算精确的空分布。此参数将被自动设置为FALSE如果有小于50,在各组样品。


参数:ties.method
either "min" (default), "random", or "max". If "random", the ranks of ties are randomly assigned. If "min" or "max", the ranks of ties are set to the minimum or maximum rank, respectively. For details, see the help of rank. If use.row = TRUE, then ties.method = "max" is used. For the handling of Zeros, see Details.
要么"min"(默认),"random"或"max"。如果"random",被随机分配关系的行列。如果"min"或"max",队伍的关系设置为最小或最大的排名分别。有关详情,请参阅帮助rank。如果use.row = TRUE,则ties.method = "max"使用的。对于零点的处理,看到详细信息。


参数:use.offset
should an offset be used in the Poisson regression employed to estimate the density of the observed Wilcoxon rank sums? If TRUE, the log-transformed values of the null density is used as offset.
应该抵消使用泊松回归来估计所观察到的秩款项密度?如果TRUE数转换,空密度值是用来抵消。


参数:df.glm
integer specifying the degrees of freedom of the natural cubic spline employed in the Poisson regression.   
整数,指定立方米的泊松回归自然样条的自由程度。


参数:use.row
if TRUE, rowWilcoxon is used to compute the Wilcoxon rank statistics.
如果TRUE,rowWilcoxon用来计算秩统计。


参数:rand
numeric value. If specified, i.e. not NA, the random number generator will be set into a reproducible state.
数值。如果指定,即不NA,随机数发生器将被设置成一个可重复的状态。


Details

详情----------Details----------

Standardized versions of the Wilcoxon rank statistics are computed. This means that W* = (W - mean(W)) / sd(W) is used as expression  score z, where W is the usual Wilcoxon rank sum statistic or Wilcoxon signed rank statistic, respectively.
计算秩统计信息的标准化版本。这意味着,W* = (W - mean(W)) / sd(W)表达得分z,其中W是平时的秩的总和统计或Wilcoxon符号秩统计,分别。

In the computation of these statistics, the ranks of ties are by default set to the minimum rank. In the computation of the Wilcoxon signed rank statistic, zeros are randomly  set either to a very small positive or negative value.
在这些统计数据的计算,队伍的关系是默认设置的最低排名。 Wilcoxon符号秩统计量的计算,零随机设置一个很小的正值或负值。

If there are less than 50 observations in each of the groups, the exact null distribution will be used. If there are more than 50 observations in at least one group, the null distribution will by default be approximated by the standard normal distribution. It is, however, still possible to compute the exact null distribution by  setting approx50 to FALSE.
如果有小于50在各组的意见,确切的空分布将被使用。如果有超过50至少有一组的意见,空分布将默认情况下,可以通过标准正态分布近似。然而,它仍然有可能通过设置approx50FALSE的空分布的确切计算。


值----------Value----------

A list of statistics required by ebam.
由ebam所需的统计数字。


作者(S)----------Author(s)----------


Holger Schwender, <a href="mailto:holger.schw@gmx.de">holger.schw@gmx.de</a>



参考文献----------References----------

the false discovery rate, Technical Report, Department of Statistics, Stanford University.
the Empirical Bayes and the Significance Analysis of Microarrays. Technical Report, SFB 475, University of Dortmund, Germany.

参见----------See Also----------

ebam, wilc.stat
ebam,wilc.stat

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。
注3:如遇到不准确之处,请在本贴的后面进行回帖,我们会逐渐进行修订。
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