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)