similar to: Fw: Example where PPR crashes

Dear list, I am trying to do a benchmark study for my case study. It is a regression problem. Among other models I use randomForest. Using the following code the result is around 0.628, and this make sense comparing with other methods. The Theil function implements Theil's U statistic. I do not present the definition of some variables because it is not important to understand my problem.

I used the supersmoother function in the modreg package as follows: super <- supsmu(ilogemp,award) Then I decided that I might want additional explanatory variables (other than ilogemp) in my model. The ppr function in modreg seemed a logical extension of supsmu from univariate to multidimensional explanatory variables. As a "check" I ran the following: pprest <-

The following are now on CRAN: KernSmooth: version 2.2 of the code for Wand & Jones book on kernel smoothing. logspline: spline fits to log denisites, with automatic choice of smoothing. ppr: projection pursuit regression. rpart: recursive partitioning (CART-like) VR: Venables & Ripley libraries 5.3pl021 for 0.62.1 and in the devel section tree: a clone

The following are now on CRAN: KernSmooth: version 2.2 of the code for Wand & Jones book on kernel smoothing. logspline: spline fits to log denisites, with automatic choice of smoothing. ppr: projection pursuit regression. rpart: recursive partitioning (CART-like) VR: Venables & Ripley libraries 5.3pl021 for 0.62.1 and in the devel section tree: a clone

Hi all, I am doing a projection pursuit regression using the ppr() function from modreg. I would also like to use predict.ppr(). However, I cannot find any information about it in the help files. There is a link to predict.ppr in the index for modreg, but that link is to the help for ppr(). Has predict.ppr() not been implemented? If not, does anyone have a suggestion as to how to implement

The pursuit projection packages ppr is an excellent contribution to R. It is great for one-to-three ridge fits, often somewhat intuitive, and for multi-ridge fits, where it at least describes a lot of variance. Like many folk, I need to report the fits obtained from ppr to the greater, outside, non-R world. It is fairly obvious how to use the terms alpha and beta to report on

Dear R users, I am looking for the source code of the implementation of ppr (Projection Pursuit Regression) in R. It will be great if citations of the source papers on which the implementation is based, are also provided. Thank you, Arvind Iyer, Grad student, Deptt. of Biomedical Engineering Viterbi School of Engineering University of Southern California, Los Angeles [[alternative HTML

Full_Name: Hugh Miller Version: 2.8.1 OS: XP Submission from: (NULL) (128.250.24.101) Hi there, I've been looking at approaches that use the projection pursuit regression function fairly (ppr) heavily, and have discovered that it crashes my R system on occasion. It only happens with the inputs are pathological in some way I don't understand. I have pasted such an example below. Any

Hi, Recently, I installed the 1.1.0 version of R (for Windows), since it includes an implementation of Projection Pursuit (I failed to write my own version of PP as a standalone C++ program). As far as I know, R offers two interfaces/sintax for the ppr() function. The first one requieres a regression formula and a data frame. The other requieres X, a matrix with the explanatory variables, and Y,

When handed an argument with all NAs, supsmu() causes a sigfault causing termination of R. The following example reproduces the problem (on a linux gentoo system), but I have verified the same behavior on a solaris builds as well as several versions of R. x <- (1:100)/10; y <- sin(pi*x) + rnorm(length(x)); tmp <- supsmu(x,y); # works y[c(2,5,10)] <- NA; # a few NAs

Dear R listers -- I have several questions about using the ppr command in the modreg module. I discovered -- quite by accident -- that if I re-order the data, I obtain different results. The output below shows what I mean. I have two datasets (dataset1 and dataset2) that are identical (tested using proc compare in SAS) except for the fact that the records are in different order. Below I have

I am having problems when calling "supsmu" in R 1.6.2 installed on RedHat 8.0. I used the rpm provided on the R site. "supsmu" seems to have not been installed by default - (i.e., as part of the modreg package). It also does not occur as part of any of the contibuted packages - so there apparently is no question about installing it from contributed libraries. Can anyone help?

Petr Pikal said: > I am not really a R specialist but for this task I use function: and he pasted his code into the email. I reindented the code, and wrote a fragment to experiment with it. Here it is: --------------------------------------------------------------------------- plot.yy <- function(x, yright, yleft, yleftlim=NULL, yrightlim = NULL,

supsmu(periodic=TRUE) can crash R by reading before start of array. To reproduce: set.seed(1) xx <- runif(29000) yy <- rnorm(29000) span <- 0.49 i <- 1 while(i < 200){ cat(i,"\n") int <- supsmu(xx,yy,periodic=T,span=span) i <-i+1 } results in: 1 2 3 4 5 6 7 8 9 Program received signal SIGSEGV,

Hi, maybe I didn't explained myself well. What i meant is that the user can't have the SID S-1-5-21-528226156-890416033-2029241632 but MUST have a sid like S-1-5-21-528226156-890416033-2029241632-xxxx ( where x is usually assigned automatically by the add user's script) Best Regards, Bruno Guerreiro -----Original Message----- From: Jos? M. Fandi?o [mailto:samba@fadesa.es] Sent:

>>>>> "Jose" == Jose Ramon G Albert <toots at info.com.ph> writes: Jose> I have just downloaded this freeware version of R (which seems Jose> to be a clone of S). I was wondering if anyone knows where I Jose> could obtain R or S functions which provide nonparametric Jose> regression curves, e.g. kernel estimators or smoothing Jose> splines.

I now have versions of code that is destined (I believe) for 0.63 which is in a suitable state for comment. The files are at ftp://ftp.stats.ox.ac.uk/pub/R (Our www server is being moved, so may be intermittently down, but this ftp server should be stable.) All are R packages, for the moment for personal use only (no re-distribution). Use with 0.62.3 or 0.63 (although I am aware of some

In running R CMD check I get an error I can't debug. Would someone please let me know if they spot a syntax error in the code below or if there is a workaround for the parse error? Thanks -Frank Error in parse(file, n, text, prompt) : parse error Error in codoc(package = "Hmisc") : cannot source usages in documentation object 'plsmo' Execution halted * checking for

That's it. 'sip reload', reloads the sip.conf, 'extension reload' (or extensions?), reloads the extension.conf and so on. The 'reload' command do it all at once. Regards, ---- Filipe Mordhorst Joinville - SC - Brasil -----Mensagem original----- De: asterisk-users-bounces@lists.digium.com [mailto:asterisk-users-bounces@lists.digium.com] Em nome de Johann

----- "Akemi Yagi" <amyagi at gmail.com> escreveu: > De: "Akemi Yagi" <amyagi at gmail.com> > Para: "CentOS mailing list" <centos at centos.org> > Enviadas: Sexta-feira, 25 de Novembro de 2011 17:56:21 (GMT-0300) Auto-Detected > Assunto: Re: [CentOS] CentOS 6.1- RPS/RFS kernel patch > > On Fri, Nov 25, 2011 at 11:49 AM, Karanbir