Hi Everyone, I'm running some simulations where eventually I need to table the results. The problem is, that while most simulations I have at least one predicted outcome for each of the six possible categories, sometimes the algorithm assigns all the outcomes and one category is left out. Thus when I try to add the misclassification matrices I get an error. Is there a simple way I can make sure that all my tables have the same size (with a row or column of zeros) if appropriate without a messy "if" structure checking each condition?
To be more specific, here's my line of code for the table command and the two matrices that I sometimes have. Notice that in the second matrix, the "fad" column is missing. Basically, I want all the columns and rows to be predetermined so that no columns/rows go missing. Thanks for your help! Kind regards, Greg table(y.test,PredictedTestCurrent): PredictedTestCurrent y.test adi car con fad gla mas adi 9 0 0 0 0 0 car 0 6 1 0 0 3 con 1 0 3 0 0 0 fad 0 0 0 2 5 4 gla 0 1 0 0 6 3 mas 0 0 0 1 4 4 PredictedTestCurrent y.test adi car con gla mas adi 8 0 0 0 0 car 0 8 0 0 1 con 2 0 3 0 0 fad 0 1 0 4 7 gla 0 0 0 3 5 mas 0 2 0 6 3 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.