I sent this email before, but I got a r-help-bounce message and I don know if it got to the m-list. Sorry if you had already seen it.
I'm using the areg.boot function to do an ace regression. So far I've been able to do some simple running tests to fit a model with some input data, predict the response with new data, and find the inverse transform of such prediction (apparently). The commands I'm using are the following: library(MASS) library(Hmisc) xyt = read.table("tra100unifxy.dat") #2x100 table of training data (expl. variables) zt = read.table("tra100unifzR.dat") #1x100 table of training data (resp. variables) zs = read.table("sim10000z.dat") #2x10000 table of new data to predict (expl. variables) xys = read.table("sim10000xy.dat") #1x10000 table of expected responses x = xyt[,1] y = xyt[,2] z = zt[,1] xynew = data.frame(x=xys[,1],y=xys[,2]) ace.r = areg.boot(z ~ x + y, B = 100) f = Function(ace.r, ytype='inverse') za = f$z(predict(ace.r,xynew)) I have a couple question: 1.) Is that the correct way of finding the inverse transform for the responses? 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)/(10000*var(zs)) #10000 is the size of the test set The thing is I'm not getting satisfactory results. Is there a way to improve the results of the regression?. At the moment I'm not too confident with the formula I'm using as a parameter for areg.boot, since the response variables were generated as a substantially more complex function than z = x+y. I don't get this formula thing yet and maybe I'm passing a totally unrelated formula to the function. On 9/7/05, Frank E Harrell Jr <[EMAIL PROTECTED]> wrote: > > Luis Pineda wrote: > > Well, I had no idea, since I read this in the documentation: > > > > "|x| - for |transace| a numeric matrix. For |areg.boot| |x| may be a > > numeric matrix or a formula...||" > > > > Luis Pineda > > Sorry about that - you are right. > > Thomas - please debug the code to make areg.boot work with x = numeric > matrix, or correct the help file. Thanks -Frank > > -- > 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