R语言 ArrayTools包 interactionResult-class()函数中文帮助文档(中英文对照)

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interactionResult-class(ArrayTools)
interactionResult-class()所属R语言包：ArrayTools

                                        Class to Contain the Regression Result Based on An Interaction Model
                                         类包含基于交互模型的回归结果

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

Class to Contain the Regression Result Based on An Interaction Model. Interaction is a statistical term refering to a situation when the relationship between the outcome and the variable of the main interest differs at
类来包含基于交互模型的回归结果。互动是一个统计术语，参考的成果和主要利益的变量之间的关系时，情况不同，在


创建对象----------Creating Objects----------

interactionResult object is generally created from the postInteraction function See postInteraction
interactionResult对象一般是从postInteraction函数创建postInteraction


对象组件----------Object Components----------

A list of four or more components.  Each component is a reggressResult class. The first component contains all the genes. The second component contains genes with the interaction effect The rest components contains genes with the interaction effect across different levels.  Each component contains the result for each level.
四个或更多的组件列表。每个组件是一个reggressResult类。第一部分包含了所有的基因。第二部分包含的其余部件包含在不同层次的互动效应的基因互作效应的基因。每个组件包含了每个级别的结果。


延伸----------Extends----------

Class "list", from data part. Class "vector", by class "list", distance 2.
类"list"，从数据的一部分。类"vector"，由类“列表”，距离为2。


方法----------Methods----------




adjustment signature(object = "regressResult")
调整signature(object = "regressResult")

:  access the adjustment slot
：进入adjustment插槽。




getAdjP signature(object = "regressResult")
getAdjPsignature(object = "regressResult")

:   access the adjPVal slot
：进入adjPVal插槽。




getAnnotation signature(object = "regressResult")
getAnnotationsignature(object = "regressResult")

:   access the annotation slot
：进入annotation插槽。




getContrast signature(object = "regressResult")
getContrastsignature(object = "regressResult")

:   access the contrast slot
：进入contrast插槽。




getF signature(object = "regressResult")
getFsignature(object = "regressResult")

:   access the FValue slot
：进入FValue插槽。




getFC signature(object = "regressResult")
getFCsignature(object = "regressResult")

:   access the foldChange slot
：进入foldChange插槽。




getFCCutoff signature(object = "regressResult")
getFCCutoffsignature(object = "regressResult")

:   access the significantFCCutoff slot
：进入significantFCCutoff插槽。




getFileName signature(object = "regressResult")
getFileNamesignature(object = "regressResult")

:   access the fileName slot
：进入fileName插槽。




getFilterMethod signature(object = "regressResult")
getFilterMethodsignature(object = "regressResult")

:   access the filterMethod slot
：进入filterMethod插槽。




getID signature(object = "regressResult")
的getIdsignature(object = "regressResult")

:   access the ID slot  
：进入ID插槽。




getIndex signature(object = "regressResult")
getIndexsignature(object = "regressResult")

:   access the significantIndex slot
：进入significantIndex插槽。




getNormalizationMethod signature(object = "regressResult")
getNormalizationMethodsignature(object = "regressResult")

:   access the normalizationMethod slot
：进入normalizationMethod插槽。




getP signature(object = "regressResult")
getPsignature(object = "regressResult")

:   access the pValue slot
：进入pValue插槽。




getPCutoff signature(object = "regressResult")
getPCutoffsignature(object = "regressResult")

:   access the significantPvalueCutoff slot
：进入significantPvalueCutoff插槽。




Output2HTML signature(object = "regressResult")
Output2HTMLsignature(object = "regressResult")

:   create HTML file for sigificant genes in regressionResult
：创建为regressionResult sigificant基因的HTML文件




regressionMethod signature(object = "regressResult")
regressionMethodsignature(object = "regressResult")

:   access the regressionMethod slot
：进入regressionMethod插槽。




selectSigGene signature(object = "regressResult")
selectSigGenesignature(object = "regressResult")

:   select significant genes for regressionResult class
：选择regressionResult类的重大基因




show signature(object = "regressResult")
显示signature(object = "regressResult")

:   print regressResult
：打印regressResult




Sort signature(x = "regressResult")
排序signature(x = "regressResult")

:   sort regressResult
：排序regressResult




summary signature(object = "regressResult")
摘要signature(object = "regressResult")

:   print the summary for regressResult
：打印regressResult总结




getLength signature(object = "interactionResult")
的getLengthsignature(object = "interactionResult")

:   calculate the length of the interactionResult class
：计算长度的interactionResult类。


作者（S）----------Author(s)----------


Xiwei Wu, Arthur Li



参见----------See Also----------

regressResult
regressResult


举例----------Examples----------


## Creating the interactionREsult takes a few steps:[＃创建的interactionREsult需要以下几个步骤：]
data(eSetExample)
design.int<- new("designMatrix", target=pData(eSetExample), covariates = c("Treatment", "Group"),
    intIndex = c(1, 2))
contrast.int<- new("contrastMatrix", design.matrix = design.int, interaction=TRUE)
result.int<- regress(eSetExample, contrast.int)
sigResult.int <- selectSigGene(result.int)
intResult <- postInteraction(eSetExample, sigResult.int, mainVar ="Treatment",
   compare1 = "Treated", compare2 = "Control")

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


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