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Hi, I know that this question has been asked several times before but I haven't been able to find an answer. I'm running R on a P3 933 with 384 MB of RAM. The system is running Windows XP Home. I'm trying to read a 1054 row by 30303 column matrix from a tab delimited text file ("file.txt") into R using the following command: m <- matrix(scan(file

Hi, I'm using the R nnet package to train a classifier to recognise items which belong to a particular class and those which don't belong to the class. I'm supplying nnet with a matrix x containing training examples (in each row) and a matrix y of targets. The training set is made up of 200 positive examples and 1000 negative examples. I want to train the network on the same

Hi, I'm using the R nnet package and have a few simple (?) questions. What is the "value " that is output after every 10 iterations during the training of the network and how is it calculated? # weights: 177 initial value 506.134586 iter 10 value 128.222774 iter 20 value 95.399782 iter 30 value 87.184564 ... Is the "value" the error, if not, is there any way