[R] Classifly problems

[hadley wickham]

Have you tried using classifly directly?

library(classifly)
classifly(Tumor ~ ., my.data.set, lda)

generate_classification_data is an internal function, and you are
passing it the wrong arguments.

Hadley

On 8/7/07, Dani Valverde <dani at carbon.uab.es> wrote:
> 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 at 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.
>