deds.chooseTest(DEDS)
deds.chooseTest()所属R语言包：DEDS
Selection of the Most Common Statistics for Differential Expression
选择差异表达的最常见的统计
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function selects a set of functions of common statistics for differential expression in microarray data analysis, given specific observation class labels. As a default, t-statistics, fold change and SAM are selected.
此功能选择一组常见的统计差表达的微阵列数据分析，给出具体的观察类标签的功能。由于默认情况下，t-统计量，倍数变化和SAM被选中。
用法----------Usage----------
deds.chooseTest(L = NULL, tests = c("t", "sam", "fc"))
参数----------Arguments----------
参数：L
A vector of integers corresponding to observation (column) class labels. For k classes, the labels must be integers between 0 and 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。
参数：tests
A character vector specifying the statistics to be used to test the null hypothesis of no association between the variables and the class labels. For DEDS, there should be more than one statistic chosen from the following:<br> <table summary="Rd table"> <tr> <td align="left"> "t": </td><td align="left"> t-statistics; </td> </tr> <tr> <td align="left"> "f": </td><td align="left"> F-statistics;</td> </tr> <tr> <td align="left"> "fc":</td><td align="left"> fold changes;</td> </tr> <tr> <td align="left"> "sam": </td><td align="left"> SAM-statistics; </td> </tr> <tr> <td align="left"> "modt": </td><td align="left"> moderated t-statistics;</td> </tr> <tr> <td align="left"> "modf": </td><td align="left"> moderated F-statistics; </td> </tr> <tr> <td align="left"> "B": </td><td align="left"> B-statistics.</td> </tr> </table>
指定一个字符向量的统计数据，可以用来测试的零假设之间没有关联的变量和类的标签。 DEDS的，应该有多个选择：从下面的统计参考<table summary="Rd table"> <TR> <TD ALIGN="LEFT">“T”：</ TD> <TD对齐= “左”> t-统计量; </ TD> </ TR> <TR> <TD ALIGN="LEFT">“F”：</ TD> <td ALIGN="LEFT"> F-统计; </ TD > </ TR> <TR> <td ALIGN="LEFT">“FC”：</ TD> <TD ALIGN="LEFT">倍的变化; </ TD> </ TR> <TR> <TD对齐= “左”>“萨姆”：</ TD> <td ALIGN="LEFT"> SAM统计; </ TD> </ TR> <TR> <TD ALIGN="LEFT">“modt”：</ TD > <td ALIGN="LEFT">主持t-统计量; </ TD> </ TR> <TR> <TD ALIGN="LEFT">“MODF”：</ TD> <td ALIGN="LEFT">放缓F-统计; </ TD> </ TR> <TR> <TD ALIGN="LEFT">的“B”：</ TD> <td ALIGN="LEFT">的B-统计</ TD> </ TR > </ TABLE>
Details
详情----------Details----------
deds.chooseTest can be used together with the function deds.stat. The user specifies the types of statistics needed for subsequent DEDS analysis by the argument tests and the function returns accordingly a list the statistics function, which could be used for input testfun in the function deds.stat.
deds.chooseTest可以一起使用功能deds.stat。用户指定类型的统计数据为随后DEDS的分析需要的参数tests和函数返回相应列表的统计功能，可以用输入testfun在功能deds.stat的 。
值----------Value----------
A list of statistics functions specified by the user which could be used for input in the function deds.stat.
由用户指定的统计功能，可用于输入功能deds.stat。
作者（S）----------Author(s)----------
Yuanyuan Xiao, <a href="mailto:yxiao@itsa.ucsf.edu">yxiao@itsa.ucsf.edu</a>, <br>
Jean Yee Hwa Yang, <a href="mailto:jean@biostat.ucsf.edu">jean@biostat.ucsf.edu</a>.
参见----------See Also----------
comp.t, comp.FC, comp.SAM
comp.t，comp.FC，comp.SAM
举例----------Examples----------
X <- matrix(rnorm(1000,0,0.5), nc=10)
L <- rep(0:1,c(5,5))
# genes 1-10 are differentially expressed[差异表达基因的1-10]
X[1:10,6:10]<-X[1:10,6:10]+1
# as a default, chooses t, fc and sam[因为默认情况下，选择T，FC和sam]
funcs <- deds.chooseTest(L)
deds.X <- deds.stat(X, L, testfun=funcs)
# chooses F statistic, SAM statistic, and moderated F statistic[选择F统计量，SAM的统计，和放缓的F统计]
L <- rep(0:2, c(3,3,4))
funcs <- deds.chooseTest(L, tests=c("f", "sam", "modf"))
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 16:22:35
