All, The kohonen predict function is returning NA for SOM predictions regardless of data used... even the package example for a SOM using wine data is returning NA's Does anyone have a working example SOM. Also, what is the purpose of trainY, what would be the dependent data for an unsupervised SOM? As may be apparent to you by my questions, I am very new to kohonen maps and am very grateful for any assistance offered. Thanks in advance! Below is terminal output: > sessionInfo() R version 2.10.1 (2009-12-14) i386-pc-mingw32
locale: [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252 [4] LC_NUMERIC=C LC_TIME=English_United States.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] kohonen_2.0.5 class_7.3-1 loaded via a namespace (and not attached): [1] tools_2.10.1 > data(wines) > set.seed(7) > training <- sample(nrow(wines), 120) > Xtraining <- scale(wines[training, ]) > Xtest <- scale(wines[-training, ], + center = attr(Xtraining, "scaled:center"), + scale = attr(Xtraining, "scaled:scale")) > som.wines <- som(Xtraining, grid = somgrid(5, 5, "hexagonal")) > som.prediction <- predict(som.wines, newdata = Xtest, + trainX = Xtraining, + trainY = factor(wine.classes[training])) > table(wine.classes[-training], som.prediction$prediction) 1 2 3 > som.prediction$prediction [1] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA [47] NA NA NA NA NA NA NA NA NA NA NA > ______________________________________________ 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.
