Hello I have the problem that I want to transform a dataframe as generated by
diagnosis <- rep(diagnosis[1:3], 3) marker <- gl(3,3) values <- rnorm(9) dataframe <- cbind(diagnosis, marker, values) dataframe <- dataframe[c(1:5, 7:9), ] into a matrix where levels(diagnosis) is indicating the rows of the matrix, levels(marker) the columns and values are the actual content of the matrix. However, as can been seen in the dataframe, some observations are missing and should result in <NAs> in the resulting matrix, giving a result like this: marker 1 2 3 diagnosis1 value value value diagnosis2 value value value diagnosis3 value NA value Can anyone help out with some code for this? I have tried to look this up in the mailing list as it has probably been answered before but only found aspects of the problem which I was just not able to plumb together. Many thanks in advance, I hope this is not to much of an insult for the list. Thorsten P.S: I have already sent this message to the mailing list, howver I got a bounce-message back, so hopefully this is no duplicate entry. Sorry for any inconvenience that this may confer. -- Thorsten Raff 2nd Medical Department, University Hospital Schleswig-Holstein, Campus Kiel Chemnitzstraße 33 24116 Kiel GERMANY phone: +49 431 1697-5234 fax: +49 431 1697-1264 email: t.raff<at>med2.uni-kiel.de web: www.uk-s-h.de
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