R语言 webbioc包 mt.wrapper()函数中文帮助文档(中英文对照)

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mt.wrapper(webbioc)
mt.wrapper()所属R语言包：webbioc

                                        Multiple Testing Wrapper Function
                                         多个测试封装函数

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

A wrapper for some of the functionality for the multtest package. It also includes hooks to calculate q-values with John D. Storey's "q-value.R" code.
multtest包的一些功能的包装。它还包括钩来计算Q值与约翰·D层的q-value.R代码。


用法----------Usage----------


mt.wrapper(proc, X, classlabel, test="t", rawpcalc="Parametric", side="abs", ...)



参数----------Arguments----------

参数：proc
A character string containing the name of the multiple testing procedure for which adjusted p-values are to be computed. This vector should include any of the following: "Bonferroni", "Holm", "Hochberg", "SidakSS", "SidakSD", "BH", "BY", "maxT", "minP", "q".  
一个字符串包含多个测试程序，调整p值计算的名称。这个向量应包括以下任何："Bonferroni"，"Holm"，"Hochberg"，"SidakSS"，"SidakSD"，"BH"，"BY" "maxT"，"minP"，"q"。


参数：X
A data frame or matrix, with m rows corresponding to variables (hypotheses) and n columns to observations. In the case of gene expression data, rows correspond to genes and columns to mRNA samples. The data can be read using read.table.  
一个数据框或矩阵，m行相应的变量（假设）和n列观察。在基因表达数据的情况下，行对应mRNA样品的基因和列。可以读取数据，使用read.table。


参数：classlabel
A vector of integers corresponding to observation (column) class labels. For k classes, the labels must be integers between 0 and k-1. For the blockf test option, observations may be divided into n/k blocks of k observations each. The observations are ordered by block, and within each block, they are labeled using the integers 0 to k-1.         
观察（列）类的标签对应的整数向量。对于k类，标签必须是0k-1之间的整数。 blockf测试选项，观测n/kk观察每块可分为。的意见，下令块，每块内，他们都使用整数0k-1标记。


参数：test
A character string specifying the statistic to be used to test the null hypothesis of no association between the variables and the class labels.<br> If test="t", the tests are based on two-sample Welch t-statistics (unequal variances).  <br> If test="t.equalvar", the tests are based on two-sample t-statistics with equal variance for the two samples. The square of the t-statistic is equal to an F-statistic for k=2. <br> If test="wilcoxon", the tests are based on standardized rank sum Wilcoxon statistics.<br> If test="f", the tests are based on F-statistics.<br> If test="pairt", the tests are based on paired t-statistics. The square of the paired t-statistic is equal to a block F-statistic for k=2. <br> If test="blockf", the tests are based on F-statistics which adjust for block differences (cf. two-way analysis of variance).  
如果一个字符串指定的统计，被用来测试空假设之间没有关联的变量和类的标签。参考test="t"，测试是基于两样本韦尔奇t-统计（不平等的差异）。 <br>如果test="t.equalvar"，测试是基于两样本t-统计量等于两个样本方差。 t-统计量的平方等于k=2F-统计。参考如果test="wilcoxon"，测试标准化秩秩统计基础。参考如果test="f"，测试F-统计基础。参考如果test="pairt"测试配对t-统计的基础上。配对的t-统计的平方等于块k=2F-统计。 <br>如果test="blockf"，测试是根据F-统计调整块的差异（参见双向方差分析）。


参数：rawpcalc
A character string specifying how to calculate nominal/raw p-values. The possible choices are "Parametric" or "Permutation".  
一个字符串，指定如何计算名义/原材料p值。可能的选择是"Parametric"或"Permutation"。


参数：side
A character string specifying the type of rejection region.<br> If side="abs", two-tailed tests, the null hypothesis is rejected for large absolute values of the test statistic.<br> If side="upper", one-tailed tests, the null hypothesis is rejected for large values of the test statistic.<br> If side="lower", one-tailed tests,  the null hypothesis is rejected for small values of the test statistic.  
如果一个字符串指定排斥区域类型。参考如果side="abs"，一个side="upper"，双尾检验，检验统计量的大绝对值拒绝零假设。参考尾检验，零假设被拒绝的检验统计量的大值。如果side="lower"，单尾测试参考，拒绝零假设检验统计量的小值。


参数：...
Further arguments for mt.maxT, mt.minP, qvalue.
进一步论据mt.maxT，mt.minP，qvalue。


值----------Value----------

A data frame with components
与组件的数据框


参数：index
Vector of row indices, between 1 and nrow(X), where rows are sorted first according to their adjusted p-values, next their unadjusted p-values, and finally their test statistics.  
矢量行指数，介于1和nrow(X)，行进行排序，首先根据他们调整p值，明年他们未经调整的p值，最后他们的测试统计。


参数：teststat
Vector of test statistics, ordered according to index.  To get the test statistics in the original data order, use teststat[order(index)].
向量测试统计，下令根据index。要获得原始数据以便在测试统计，使用teststat[order(index)]。


参数：rawp
Vector of raw (unadjusted) p-values, ordered according to index.  
原料（未经调整）p的值的向量，下令根据index。


参数：adjp
Vector of adjusted p-values, ordered according to index.  
调整p值的向量，下令根据index。


参数：plower
For mt.minP function only, vector of "adjusted p-values", where ties in the permutation distribution of the successive minima of raw p-values with the observed p-values are counted only once. Note that procedures based on plower do not control the FWER. Comparison of plower and adjp gives an idea of the discreteness of the permutation distribution. Values in plower are ordered according to index.
mt.minP函数，“调整p值”的向量，在原料p值连续极小的排列分布的关系与实测p值只计算一次。注意plower不的FWER控制的程序。比较plower和adjp给出了置换分布的离散性的想法。在值plower排序根据index。


作者（S）----------Author(s)----------


Colin A. Smith <a href="mailto:webbioc@colinsmith.org">webbioc@colinsmith.org</a>

转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。


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