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

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

                                        Class to Contain the Regression Result
                                         一类包含的回归结果

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

Class to Contain the Regression Result
一类包含的回归结果


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

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


插槽----------Slots----------




ID: contains probe ID/gene ID
ID：包含探针ID /基因身份证




foldChange: contains fold change value
foldChange：包含倍的变化值




FValue: contains F statistics
FValue：F统计




pValue: contains p value
pValue：包含p值




adjPVal: contains adjusted p value
adjPVal：包含调整p值




contrast: contains class "contrastMatrix"
contrast：含有类"contrastMatrix"




regressionMethod: contains regression method: "limma", "regression",
regressionMethod：包含回归的方法：“limma”，“回归”




adjustment: contains method for multiple comparison adjustment
adjustment：包含多重比较调整方法




significantIndex: contains a logical index indicating sigificant genes
significantIndex：含有逻辑指标sigificant基因的




significantPvalueCutoff: contains a cutoff p-value for choosing significant genes
significantPvalueCutoff：包含一个显著的基因选择截止p值




significantFCCutoff: contains a fold change cutoff value for choosing significant genes
significantFCCutoff：包含一个选择显著基因的倍数变化的临界值




fileName: contains a file name for output purpose
fileName：包含一个文件名输出的目的




annotation: contains annotation
annotation：包含注释




normalizationMethod: contains normalization method - for output purpose
normalizationMethod：包含标准化的方法 - 输出的目的




filterMethod: contains filtered method - for output purpose
filterMethod：包含过滤方法 - 输出的目的


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


作者（S）----------Author(s)----------


Xiwei Wu, Arthur Li



举例----------Examples----------


data(eSetExample)
design<- new("designMatrix", target=pData(eSetExample), covariates = "Treatment")
contrast<- new("contrastMatrix", design.matrix = design,
    compare1 = "Treated", compare2 = "Control")
result<- regress(eSetExample, contrast)

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