search for: varmetadata

...eSet (storageMode: lockedEnvironment) assayData: 2197815 features, 59 samples element names: channel1, channel2 protocolData rowNames: LT290677RU_D1_2011-02-16 LT286300LU_D1_2010-07-24 ... LT003990RU_D1_2010-11-04 (59 total) varLabels: filenamesChannel1 filenamesChannel2 dates1 dates2 varMetadata: labelDescription channel phenoData rowNames: LT290677RU_D1_2011-02-16 LT286300LU_D1_2010-07-24 ... LT003990RU_D1_2010-11-04 (59 total) varLabels: sampleID tissue ... Annotation (5 total) varMetadata: labelDescription channel featureData: none experimentData: use 'experimentData(objec...

...se"] with 1 slots > .. .. .. .. ..@ .Data:List of 1 > .. .. .. .. .. ..$ : int [1:3] 1 0 0 > ..@ assayData :<environment: 0x1078636e8> > ..@ phenoData :Formal class 'AnnotatedDataFrame' [package "Biobase"] with 4 slots > .. .. ..@ varMetadata :'data.frame': 21 obs. of 1 variable: > .. .. .. ..$ labelDescription: chr [1:21] " Patient ID" " Date of diagnosis" " Gender of the patient" " Age of the patient at entry" ... > .. .. ..@ data :'data.frame': 128 ob...

...I than try to run the analysis again: > data <- ReadAffy() > data AffyBatch (storageMode: lockedEnvironment) assayData: NA features, NA samples element names: exprs protocolData sampleNames: 10_w1h_021110.CEL 11_wbh_021110.CEL ... 9_dch_021110.CEL (12 total) varLabels: ScanDate varMetadata: labelDescription phenoData sampleNames: 10_w1h_021110.CEL 11_wbh_021110.CEL ... 9_dch_021110.CEL (12 total) varLabels: sample varMetadata: labelDescription featureData: none experimentData: use 'experimentData(object)' Annotation: drosophila2 when I start the analysis I get the...

...> (subset1 =subset(expressionSet,sex="Male",type="Control")) 7 columns selected (C F J R U W X) ExpressionSet (storageMode: lockedEnvironment) assayData: 500 features, 7 samples element names: exprs, se.exprs phenoData sampleNames: C, F, ..., X (7 total) varLabels and varMetadata description: sex: Female/Male type: Case/Control score: Testing Score featureData featureNames: AFFX-MurIL2_at, AFFX-MurIL10_at, ..., 31739_at (500 total) fvarLabels and fvarMetadata description: none experimentData: use 'experimentData(object)' Annotation: hgu95av2 # wha...

Every now and then I realize that my attempts to document what all dataframes consist of are unsufficient. So far, I have been writing notes in an external file. Are there any better ways to do this within R? One possibility could be to set up the data as packages, but I would like to have a solution on a lower level, closer to data. I can't find any pointers in the standard manuals.