Hi I would like to do neural netowrk analysis on my data. It look like this:
drug param1 param2 param3 param4 param5 class A 111 15 125 40 0.5 1 B 347 13 280 55 3 2 C 335 9 119 89 -40 1 D 477 37 75 2 0 1 E 863 24 180 10 5 2 F 737 28 150 15 6 2 G 390 63 167 12 0 3 H 209 93 200 48 45 3 I 376 72 201 45 -60 3 J 262 16 205 49 25 3 K 273 39 267 53 11 1 L 192 33 164 19 15 2 M 282 2 213 86 30 1 N 111 11 198 68 -21 1 O 387 20 143 12 16 2 P 674 15 78 -20 -17 2 R 734 54 140 24 7 2 S 272 46 159 57 28 2 T 245 37 90 6 31 2 I have entered the code below: > nn <- neuralnet( + class~param1+param2+param3+param4+param5+param5, + data=mydata, hidden=2, err.fct="ce", + linear.output=FALSE) However the error appeared: Error in model.frame.default(formula.reverse, data) : object is not a matrix I changed the data frame to matrix: mydata.mat=as.matrix(mydata) but still the same error appears... How can I fix this ? I would be very grateful for your help ! -- View this message in context: http://r.789695.n4.nabble.com/neural-net-tp4652927.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
