search for: varlabels

...ta and it looks like followings: > rawData $v1 TilingFeatureSet (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 channe...

...nonlin function: > gnm_function<- function(B1, B2, B3, B4, B5){ + list( + predictors = list(B1=1, B2=1, B3=1, B4=1, B5=1), + variables = list(substitute(LithologyB), substitute(LithologyC), substitute(LithologyD), substitute(LithologyE), substitute(LithologyF)), + term = function(predLabels, varLabels) { + paste( + predLabels[1], "*", varLabels[1], "+", predLabels[2], "*", varLabels[2], "+", predLabels[3], "*", varLabels[3], "+", predLabels[4], "*", varLabels[4], "+", predLabels[5], "*", varLabels[5] + )})}...

...validvarname = c("V7", "V6")){ factors <- sapply(df, is.factor) strings <- sapply(df, is.character) - + dates <- sapply(df, FUN = function(x) inherits(x, "Date")) + datetimes <- sapply(df, FUN = function(x) inherits(x, "POSIXct")) + varlabels <- names(df) - varnames <- abbreviate(names(df), 8) - if (any(sapply(varnames, nchar) > 8)) - stop("Cannot abbreviate the variable names to eight or fewer letters") - if (any(abbreviated <- (varnames != varlabels))) - message("Some variable names were abbreviat...

Dear R-users I hope someone could help me on this problem. I want to create a multiple kiteChart showing the real values with a scalebar on each indicating the scale . Here are some sample data to show what I want to achieve. Y <- read.table(textConnection("Sample1 Sample2 60 20 150 50 300

...,"tumor","time","id"); pdN <- list(type = "Cellline/xenograft",tumor="primary,secondary,cellline",time = "0hr,1hr,2hr,4hr", id = "1,2,3,4,5,6,7,8,9") # Initialize exprSet object pD <- new("phenoData", pData=pd, varLabels=pdN); # This is my eSet!!! metastasis.eset <- new("exprSet", exprs=as.matrix(geneExpr.log), phenoData=pD) I get the following error: The phenoData class is deprecated, use AnnotatedDataFrame (with ExpressionSet) instead Can someone suggest me how to use the new method...

...drosgenome2cdf.qcdef 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...

... and is there also such a nice tool (like spss.get) for exporting data frames to SPSS? write.table does not keep the data frame labels - neither did the other exporting tools that I found. Thanks! Michael [[alternative HTML version deleted]]

...ed, use ExpressionSet instead 8: The exprSet class is deprecated, use ExpressionSet instead 9: The exprSet class is deprecated, use ExpressionSet instead > > eSet Expression Set (exprSet) with 6 genes 3 samples phenoData object with 1 variables and 3 cases varLabels sample: arbitrary numbering Warning messages: 1: The exprSet class is deprecated, use ExpressionSet instead 2: The exprSet class is deprecated, use ExpressionSet instead 3: The phenoData class is deprecated, use AnnotatedDataFrame (with ExpressionSet) instead > RInormalizedDa...

...the sample use > (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:...

Hi, I'm trying to create a plot showing the density distribution of some shipping data. I like the look of violin plots, but my data is not continuous but rather binned and I want to make sure its binned nature (not smooth) is apparent in the final plot. So for example, I have the number of individuals per vessel, but rather than having the actual number of individuals I have data in the