Hello, I am trying to explore a classification with GGobi. I am trying to generate additional data according to the model so I can draw the decision boundaries on the GGobi plot. The problem is that I always get the same error: Error in predict.lda(model,data): wrong number of variables, even if I know that I used the same number of variables for the model generation (6) and for the additional data generation (6 also). I paste the code I am using:
library(MASS) Tumor <- c(rep("MM",20),rep("GBM",18),rep("LGG",17)) data.lda <- lda(data,Tumor) data.ld <- predict(data.lda) data.ldd <- data.frame(data.ld$x,data.ld$class) library(rggobi) data.g <- ggobi(data.ldd) library(classifly) generate_classification_data(data.lda,data,method="grid",n=100000) Could you help me? Best regards, Dani [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch 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.