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Dear R community, I am trying to understand how the predict function, specifically, the predict.loess function works. I understand that the loess function calculates regression parameters at each data point in 'data'. lo <- loess ( y~x, data) p <- predict (lo, newdata) I understand that the predict function predicts values for 'newdata' according to the loess regression

...ta' Code: id other time traj varName Docs: id time traj varName --- 8< ---------------- But here is what I get : --- 8< ---------------- R CMD check longitudinalData * checking for working pdflatex ... OK * using log directory 'C:/Documents and Settings/Christophe/Mes documents/Recher che/Trajectoires/kmeal/longitudinalData.Rcheck' * using R version 2.9.0 beta (2009-04-04 r48290) * using session charset: ISO8859-1 * checking for file 'longitudinalData/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'longitudinalData' version '0...

...hes from documentation object 'LongData-class': Slots for class 'LongData' Code: id other time traj varName Docs: id time traj varName --- 8< ---------------- But here is what I get on my computer: --- 8< ---------------- C:\Documents and Settings\Christophe\Mes documents\Recherche\Trajectoires\kmeal> R CMD check longitudinalData * checking for working pdflatex ... OK * using log directory 'C:/Documents and Settings/Christophe/Mes documents/Recher che/Trajectoires/kmeal/longitudinalData.Rcheck' * using R version 2.9.0 Patched (2009-06-07 r48733) * using session...

I have data that looks like this: > df1 group id 1 red A 2 red B 3 red C 4 blue D 5 blue E 6 blue F I want a list of the groups containing vectors with the ids. I am avoiding subset(), as it is only recommended for interactive use. Here's what I have so far: df1 <- data.frame(group=c("red", "red", "red", "blue",