| regressResult-class {ArrayTools} | R Documentation |
Class to Contain the Regression Result
regressResult object is generally created from the regress function
See regress
ID:foldChange:FValue:pValue:adjPVal:contrast:"contrastMatrix"regressionMethod:adjustment:significantIndex:significantPvalueCutoff:significantFCCutoff:fileName:annotation:normalizationMethod:filterMethod:signature(object = "regressResult")adjustment slot }
signature(object = "regressResult")adjPVal slot }
signature(object = "regressResult")annotation slot }
signature(object = "regressResult")contrast slot }
signature(object = "regressResult")FValue slot}
signature(object = "regressResult")foldChange slot }
signature(object = "regressResult")significantFCCutoff slot}
signature(object = "regressResult")fileName slot }
signature(object = "regressResult")filterMethod slot }
signature(object = "regressResult")ID slot }
signature(object = "regressResult")significantIndex slot}
signature(object = "regressResult")normalizationMethod slot}
signature(object = "regressResult")pValue slot }
signature(object = "regressResult")significantPvalueCutoff slot }
signature(object = "regressResult")signature(object = "regressResult")regressionMethod slot}
signature(object = "regressResult")regressionResult class}
signature(object = "regressResult")regressResult}
signature(x = "regressResult")regressResult}
signature(object = "regressResult")regressResult}
Xiwei Wu, Arthur Li
data(eSetExample)
design<- new("designMatrix", target=pData(eSetExample), covariates = "Treatment")
contrast<- new("contrastMatrix", design.matrix = design,
compare1 = "Treated", compare2 = "Control")
result<- regress(eSetExample, contrast)