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FDA predict problem
2012 Jan 16
0
FDA predict problem
...z[,-c(1:9, 11:15, 32, 35, 36, 47, 50, 51, 56)] names(matrizR) matrizRR <- matrizR[,-c(2:7)] names(matrizRR) SKA <- read.table("SKA.txt", header=T, sep="\t") names(SKA) matrizRRSKA <- cbind(matrizRR, SKA) names(matrizRRSKA) summary(matrizRRSKA) #discriminant analysis FDAaSKA <- fda(as.factor(ARTE_resumida) ~ . , data =matrizRRSKA) FDAaSKA plot(FDAaSKA) *Misclassification Error: 0.02027 confusion(FDAaSKA) write.table(confusion(FDAaSKA), "confusion_FDAgeral3.txt") FDAaSKA matrizT <- read.table("matriz2010tot.txt", header=T, sep="\t")...