Re: [R] Predicting responses using ace
I'm trying to run the print method, but according to the documentation it needs as a parameter an object created by |summary.areg.boot| . The thing is that |summary.areg.boot| gives me the following error: Error in bootj[, 1] : incorrect number of dimensions, when I do the simple call --- summary( ace.r) I started the debug browser to see what was going on inside and I noticed that 'bootj' is a numeric class variable with the same number of elements as the 'evaluation' parameter for |areg.boot|. What I found is that it has only one dimension and summary is asking for bootj[, 1], which is an error. Is that the intended behavior and I'm doing something wrong elsewhere, or should I try to adjust it by myself (to boot[1] for example)? In case the answer is the latter I would apretiate some insight about how to do it, 'cause I don't know how to edit the file. Thanks for your help, Luis Pineda On 9/7/05, Frank E Harrell Jr [EMAIL PROTECTED] wrote: Luis Pineda wrote: 2.) I'm evaluating the model's goodness of fit using the Fraction of Variance Unexplained, which I'm calculating as: rsa = za - zs FVUa = sum(rsa*rsa)/(1*var(zs)) #1 is the size of the test set That is not corrected for overfitting. You need to use the print method for the areg.boot object and note the Bootstrap validated R2 -- Frank E Harrell Jr Professor and Chair School of Medicine Department of Biostatistics Vanderbilt University [[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
Re: [R] Predicting responses using ace
I gave a quick read to the documentation again and noticed I misinterpreted it. It was print.summary.areg.boot the method I was referring to (although the summary error should still work). Sorry for the inconvenience Anyway, I used the print method on my |areg.boot| object and I got this: -- Apparent R2 on transformed Y scale: 0.798 Bootstrap validated R2 : 0.681 ... Residuals on transformed scale: Min 1Q Median 3Q Max -1.071312e+00 -2.876245e-01 -3.010081e-02 2.123566e-01 1.867036e+00 Mean S.D. 1.290634e-17 4.462159e-01 -- I suppose thats the R^2 evaluated using the training set, but how do I evaluate the performance of the model on a uncontaminated test set? On 9/8/05, Luis Pineda [EMAIL PROTECTED] wrote: I'm trying to run the print method, but according to the documentation it needs as a parameter an object created by |summary.areg.boot| . [[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
[R] Predicting responses using ace
Hello everybody, I'm a new user of R and I'm working right now with the ACE function from the acepack library. I Have a question: Is there a way to predict new responses using ACE? What I mean is doing something similar to the following code that uses PPR (Projection Pursuit Regression): library(MASS) x - runif(20, 0, 1) xnew - runif(2000, 0, 1) y - sin(x) a - ppr(x, y, 2) ynew - predict(ppr, xnew) Any help would be much appretiated, Thanks in advance, Luis Pineda __ 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
