mt.sample.teststat(multtest)
mt.sample.teststat()所属R语言包：multtest
Permutation distribution of test statistics and raw (unadjusted) p-values
置换分布的检验统计量和原料（未经调整）的P-值
译者：生物统计家园网 机器人LoveR
描述----------Description----------
These functions provide tools to investigate the permutation distribution of test statistics, raw (unadjusted) p-values, and class labels.
这些功能提供的工具来调查测试统计，原料（未经调整）p的值和类标签的排列分布。
用法----------Usage----------
mt.sample.teststat(V,classlabel,test="t",fixed.seed.sampling="y",B=10000,na=.mt.naNUM,nonpara="n")
mt.sample.rawp(V,classlabel,test="t",side="abs",fixed.seed.sampling="y",B=10000,na=.mt.naNUM,nonpara="n")
mt.sample.label(classlabel,test="t",fixed.seed.sampling="y",B=10000)
参数----------Arguments----------
参数：V
A numeric vector containing the data for one of the variables (genes).
一个数字变量（基因）的数据向量。
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：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：fixed.seed.sampling
If fixed.seed.sampling="y", a fixed seed sampling procedure is used, which may double the computing time, but will not use extra memory to store the permutations. If fixed.seed.sampling="n", permutations will be stored in memory. For the blockf test, the option n was not implemented as it requires too much memory.
fixed.seed.sampling="y"如果，一个固定的种子抽样程序使用，这可能会增加一倍的计算时间，但不会使用额外的内存来存储的排列。如果fixed.seed.sampling="n"，排列将存储在内存中。 blockf测试，选项n没有实施，因为它需要太多的内存。
参数：B
The number of permutations. For a complete enumeration, B should be 0 (zero) or any number not less than the total number of permutations.
排列数。对于一个完整的枚举，B应该是0（零）或任何数量不超过总数的排列。
参数：na
Code for missing values (the default is .mt.naNUM=--93074815.62). Entries with missing values will be ignored in the computation, i.e., test statistics will be based on a smaller sample size. This feature has not yet fully implemented.
缺失值的代码（默认为.mt.naNUM=--93074815.62）。与缺失值的参赛作品将在计算中忽略，即检验统计量将基于一个小样本大小。此功能尚未完全落实。
参数：nonpara
If nonpara="y", nonparametric test statistics are computed based on ranked data. <br> If nonpara="n", the original data are used.
如果nonpara“=”Y“，非参数检验统计排名数据计算。如果nonpara=“N”的参考，使用原始数据。
值----------Value----------
For mt.sample.teststat, a vector containing B permutation test statistics. <br> <br> For mt.sample.rawp, a vector containing B permutation unadjusted p-values. <br><br> For mt.sample.label, a matrix containing B sets of permuted class labels. Each row corresponds to one permutation.
mt.sample.teststat，向量B置换检验统计量。参考参考mt.sample.rawp，B置换未经调整的p值向量。参考参考mt.sample.label，矩阵包含B套置换类标签。每一行对应一个排列。
作者（S）----------Author(s)----------
Yongchao Ge, <a href="mailto:yongchao.ge@mssm.edu">yongchao.ge@mssm.edu</a>, <br>
Sandrine Dudoit, <a href="http://www.stat.berkeley.edu/~sandrine">http://www.stat.berkeley.edu/~sandrine</a>.
参见----------See Also----------
mt.maxT, mt.minP, golub.
mt.maxT，mt.minP，golub。
举例----------Examples----------
# Gene expression data from Golub et al. (1999)[Golub等基因表达数据。 （1999）]
data(golub)
mt.sample.label(golub.cl,B=10)
permt<-mt.sample.teststat(golub[1,],golub.cl,B=1000)
qqnorm(permt)
qqline(permt)
permt<-mt.sample.teststat(golub[50,],golub.cl,B=1000)
qqnorm(permt)
qqline(permt)
permp<-mt.sample.rawp(golub[1,],golub.cl,B=1000)
hist(permp)
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。
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发表于 2012-2-26 07:39:17
