similar to: missing values for mda package

Dear all, Is there any generic algorithm code for optimization implemented in R? I searched without success. Thanks, -- Zhu Wang Statistical Science Department Southern Methodist University Phone: (214)768-2453 Fax: (214)768-4035 Email: zhuw at mail.smu.edu

Dear helpers, I am trying to create a library which uses some Fortran source files and Lapack and Blas subroutines. The Fortran source files from the original author contain subroutines isamax.f, sgefa.f and sgesl.f, which are part of BLAS subroutines on my Linux computer, but maybe different (old) versions. So in addition to these subroutines, there are other Lapack and Blas subroutines

Shuji, I suspect that bruto blows up because your data are linearly separable. To see this (if you didn't already know), try library(lattice) splom(~x, groups = y) and look at the first row. If you are trying to do classification, there are a few methods that would choke on this (logistic regression) and a few that won't (trees, svms etc). I would guess that bruto is in the latter

NEW: CRAN/src/contrib/devel/mda_0.1-1.tar.gz I have made a first shot at porting the Hastie & Tibshirani mda package t= o R ... this is almost not tested at all ... but it works for the iris data and what else could a statistician be possibly interested in anyway = :-) All BRUTO stuff is missing because there are some unresolved symbols: R.binary: can't resolve symbol

Hi, I'm just wondering does anyone know of a good site that would assist me in creating a spam filter through R? It is for a college project. I have searched the net but cannot find anything of relevance. Any help would be greatly appreciated.... Regards, -- View this message in context: http://www.nabble.com/An-R-SPAM-Filter-tp15530304p15530304.html Sent from the R devel mailing list

At 06:09 AM 5/1/00 +0100, Prof Brian D Ripley wrote: >On Sun, 30 Apr 2000, Stephen R. Laniel wrote: > >> I was just now surprised to note that functions to go generalized additive >> models don't appear to exist under R 1.000. In particular, the gam() and >> loess() functions aren't there. Are they hidden somewhere and I just >> haven't noticed? >

Dear all, I have a problem to build a package on Windows XP while there is no problem on Linux. The Makefile is something like: ########### LIBNAME=cts PKG_LIBS = $(LAPACK_LIBS) $(BLAS_LIBS) $(FLIBS) OBJS=file1.o ... file20.o -llapack -lblas $(LIBNAME)$(SHLIB_EXT): $(OBJS) $(SHLIB_LD) $(SHLIB_LDFLAGS) -o $@ $(OBJS) $(FLIBS) clean: @rm -f *.o *.$(SHLIB_EXT) realclean: clean

?hclust listed several references. I'm wondering what is the best resource that explained clustering algorithms, dendrogram and various clustering algorithms that are implemented in R. Thank you!

Anyone know if it is possible to get the R scripts used in the "The Elements of Statistical Learning" book? It is a great book but sometimes some help would be useful to replicate the results presented in the book and so, understood things better. Thanks Manuel -- View this message in context:

Hi, I am using function mars() in package mda to find knots in a whole bunch of predictor variables. I hope to be able to replicate all or some of the basis functions that the MARS software from Salford Systems creates. When I ran mars() on a small dataset, I was able to get the knots. However, when I tried running mars() on a larger dataset (145 predictor variables), for a different

Dear list members, I have problem to load data of the library waveslim. After I load the library waveslim and tried to load data ibm data(ibm) Error in file(file, "r") : unable to open connection In addition: Warning message: cannot open file `ibm.txt'' I also tried other data sets without success. It works for other libraries though. Any suggestions? Thanks. Zhu Wang

R people, I need to know if is possible to make data mining with R. If so, is there any manual or somewhere/one to consult about that. Thank you very much Adri?n

Thanks to Brian D. Ripley and Uwe Ligges. It works now. Zhu Wang Statistical Science Department Southern Methodist University 3225 Daniel Avenue, Heroy 123 Dallas, TX 75275 Tel: (214)768-2453 Fax: (214)768-4035 > > > > -----Original Message----- > > From: Uwe Ligges [mailto:ligges at statistik.uni-dortmund.de] > > Sent: Sunday, February 02, 2003 5:22 AM >

Dear helpers, I am trying to write a function to return prediction values using package ts. I have written three different versions since I am not sure what's wrong with my func2. func and func1 return the same results.But func1 and func2 don't. In particular, the only difference between "func1" and "func2" is the function variable name being y and data, respectively.

Hi! I have some questions about MARS model's coefficient of determination. I use the MARS method in my master's thesis and I have noticed some problems with the MARS model's R^2. You can see the following example that the MARS model's R^2 is too big when i have used mars() -function for MARS model building, and when I have made MARS-model using a linear regression, it

Hello. First, I want to thank those responsible for Dovecot IMAP as it was a real treat to implement in comparison to my mostly-failed attempts with Cyrus. The passwd-file authentication was exactly what I needed as I really didn't want to have to deal with PAM or LDAP but where I am setting up a server with virtual accounts. I'm using Postfix as an MTA, and it quite handily passes

Dear helpers, When I use ar to fit the data with length 180, I have the following error: ar(x,method="burg") Error in acf(x, type = "covariance",lag.max=order,plot=FALSE): lag.max must be at least 1 If I use ar(x), then I have Call (x=x) order selected 0 sigma^2 estimated as 5374 Obviously I missed some points for using ar. This is R 1.7.0 under Redhat Linux

For a private package ("soon" to be on CRAN), I started looking at and thinking about the function confusion() from the mda package and wondered if it wouldn't make sense to provide the generic function in base R and also think about making the default for the `true' argument equal to fitted(object). One could write methods for confusion() for almost all classifiers which

Hi all, I'm at the stage of planning our new mail system and am evaluating dovecot for it. For large mailstore setups, it makes sense to split maildirs across many directories. I see that setting default_mail_env to something like maildir:/var/imap/domain/%1d/%d/%1u/user/%u/ would create almost identical on-disk layout as multidomain cyrus setup. Now, as dovecot does not have its own

Hi, I'm looking to implement a regression with mixed terms. I have 2 biological endpoints for a dataset of n=77, one linearly related and the other fits a spline. I want to combine these two terms in a linear regression for prediction, then apply the model to a test set. this works fine, good r2 and I've graphed the spline. m1<-lm(y~x1,data=train) m2<-smooth.spline(x2,y); (spl)