search for: afeature

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2009 Oct 23
1
data.frame tall skinny transformation
...5637 -0.913080902 feature3 5637 0.442477294 feature1 1321N1 -0.934748758 feature2 1321N1 -0.941455172 feature3 1321N1 -0.257921866 I have tried to do it with for loops but it is very slow. # Make Feature data tall skinny tsFeatures = c() tsCellLines = c() tsValues = c() for(aFeature in as.character(featureData$feature)){ print(aFeature) for(cellLine in cellLines){ tsCellLines = c(tsCellLines, as.character(cellLine)) tsValues = c(tsValues, as.numeric(subset(featureData, feature == aFeature, select = c(which(colnames(featureData) %in% cellLine...