cellHTS2OutputStatTests(HTSanalyzeR)
cellHTS2OutputStatTests()所属R语言包：HTSanalyzeR
Perform statistical tests on a cellHTS object
执行上cellHTS对象的统计测试
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function takes a normalized, configured and annotated cellHTS object and performs statistical tests on it for the significance of a set of observations for each condition tested in a high-throughput screen.
此功能需要一个规范化，配置和的注解cellHTS对象和执行的一组观察在高通量筛选测试每个条件意义上的统计测试。
用法----------Usage----------
cellHTS2OutputStatTests(cellHTSobject, annotationColumn = "GeneID",
controls = "neg", alternative = "two.sided", logged = FALSE, tests =
"T-test")
参数----------Arguments----------
参数：cellHTSobject
an object of class cellHTS
一个对象类cellHTS
参数：annotationColumn
a single character value specifying the name of the column in the fData(cellHTSobject) data frame from which the feature identifiers will be extracted
一个单一的字符值fdata中（cellHTSobject）将提取特征识别数据框中指定列的名称
参数：controls
a single character value specifying the name of the controls to be used as a control population in the two-sample tests (this HAS to be corresponding to how these control wells have been annotated in the column "controlStatus" of the fData(cellHTSobject) data frame). If nothing is specified, the function will look for negative controls labelled "neg".
一个单一的字符值，指定控件的名称，用于在这两个样本测试作为控制人口（此相应的是如何将这些控制井已在列的fdata中的“controlStatus”（cellHTSobject注明）数据框）。如果没有指定，该函数将标有“NEG”阴性对照。
参数：alternative
a single character value specifying the alternative hypothesis: "two.sided", "less" or "greater"
一个单一的字符值，指定替代假说：“two.sided的”，“少”或“大”
参数：logged
a single logical value specifying whether or not the data has been logged during the normalization process
一个逻辑值，指定标准化过程中是否数据已记录
参数：tests
a single character value specifying the tests to be performed: "T-test", "MannWhitney" or "RankProduct". If nothing is specified, all three tests will be performed. Be aware that the Rank Product test is slower than the other two, and returns a percent false discovery (equivalent to a FDR, not a p-value).
一个字符值，指定要执行的测试：“T-检验”，“MannWhitney”或“RankProduct”。如果没有指定，所有这三个测试将被执行。要知道，比其他两个等级产品测试速度较慢，并返回％的错误发现（相当于一个FDR，而不是一个P-值）。
Details
详情----------Details----------
The tests are computed taking into account only the wells labelled "sample" in the column "controlStatus" of the fData(cellHTSobject).
测试计算考虑到仅列“controlStatus（cellHTSobject）”的fdata中标示“样本”的水井。
The two sample tests compare the set of observations for one construct to the values obtained for a population considered as "control". The one-sample tests compare the set of observations for one construct to the median of all values obtained across all constructs labelled as "sample". This type of test assumes that most constructs are expected to show a negligible effect. It is therefore not advised to use this type of tests when the constructs tested have been pre-screened for being associated with a phenotype.
比较两个样本测试为“控制”视为一个人口获得的值的一个构造的意见。一个样本测试一个结构比较观察组跨标示为“样本”的所有结构中获得的所有值的中位数。这种类型的测试假设，预计将显示，大部分结构微不足道的效果。因此，不建议使用这种类型的测试，测试的结构时，已预先筛选与表型相关。
Please be aware that both types of tests are less reliable when the number of replicates for each construct is low.
请注意，两种类型的测试是不太可靠的，当数复制每个结构是低。
值----------Value----------
a matrix with two columns, one for each type of test (two-sample and one-sample test) except the Rank Product (no alternative), and a row for each construct (row names corresponding to the identifiers given by the "annotationcolumn" entry).
两列，为每个类型的测试等级产品除外（两样本和样本测试）（别无选择），并为每个构造的行（列名称相应由“annotationcolumn”鉴于标识符矩阵;项）。
作者（S）----------Author(s)----------
Camille Terfve, Xin Wang
参考文献----------References----------
cell-based RNAi screens. Genome Biology 7:7 R66 (2006)."
举例----------Examples----------
## Not run: [＃无法运行：]
library(cellHTS2)
##load normalized cellHTS object (see the vignette for details about the[＃加载对象的规范化cellHTS（见有关细节的小插曲]
##preprocessing of this data set)[＃这组数据的预处理）]
data("KcViab_Norm")
stats <- cellHTS2OutputStatTests(cellHTSobject=KcViab_Norm, alternative=
"two.sided", tests="T-test")
## End(Not run)[＃结束（不运行）]
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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发表于 2012-2-25 21:54:15
