similar to: Sampling from a database

I would like to know if someone has done work on trees with multivariate response. I need something like rpart but for vector responses. If someone has code that he/she is willing to share, I would be grateful. If not, even guidelines for writing my own starting from rpart would be welcomed. ft. -- Fernando TUSELL e-mail: Departamento de

Sorry to be such a nuisance but after asking for help with compiling R-1.1.0 on an Intel-based machine I now have another problem on the Alpha DS-10 server which my students use. Compilation and instalation proceed perfectly, but when I invoke R I get: [etdx01:bin]$ ./R Fatal error: The X11 shared library could not be loaded. The error was /home/etptupaf/R/lib/R/bin/R_X11.so: undefined

Porting a package from S-Plus to R I find missing the S-Plus function slice.index(). Before I hack a (probably ugly an inefficient) replacement, has anyone done so? Is there a similar function in R that I have overlooked? Many thanks, ft. -- Fernando TUSELL e-mail: Departamento de Econometr?a y Estad?stica etptupaf at bs.ehu.es Facultad de CC.EE.

When passing a list as an argument to a function, I find it convenient to attach it in the first line of th function code, then refer to the components as A, B, etc. rather than as list$A, list$B, etc. If I pass a S4 class object, is there a way to "attach" it, or do I have to refer to the slots as object at A, objetc at B, etc.? I could always make copies, A <- object at A

Is there any way of preserving order of ordered factors when storing a table in PostgreSQL? I have been using PostgreSQL and the RPgSQL package to store a large table with answers such as "Strong disagreement", "Strong agreement", "Mild disagreement". "Mild agreement". When reading the table, such answers are turned into factors, apparently in

To keep track of an ongoing programming project, I would like to dump all my functions to individual ASCII files named xxx.R, yyy.R, etc. Presently I do so manually in order to use RCS (on a Linux machine), so I can keep track of all versions, differences, snapshots, etc. Is there any easy way to dump all functions in the workspace to individually named files? Thank you very much for

I just downloaded R-1.1.0.tgz and attempted installation as usual with ./configure ./make Everything run fine until I hit the following error: gcc -I. -I../../../src/include -I../../../src/include -I../../../src/include/R_ext -I/usr/X11R6/include -I/usr/local/include -DHAVE_CONFIG_H -mieee-fp -D__NO_MATH_INLINES -fPIC -g -O2 -c rbitmap.c -o rbitmap.o rbitmap.c:239: parse error

I am generating a bunch of examples for my students and when I type R BATCH demo10.R (file demo10.R reproduced below) I get an error: ------------- Error message ------ > plot(mods$size,mods$Cp, + main="Cp versus talla modelos", + xlab=expression(p), + ylab=expression(C[p])) Error in plot.window(xlim, ylim, log, asp, ...) : need finite ylim values In

I have recently upgraded to R-1.2 and update.packages() gives the following error on my system. Am I doing something wrong? ft. -- Fernando TUSELL e-mail: Departamento de Econometr?a y Estad?stica etptupaf at bs.ehu.es Facultad de CC.EE. y Empresariales Tel: (+34)94.601.3733 Avenida Lendakari Aguirre, 83 Fax:

Running on an Alpha machine which reports (uname -a) OSF1 bsdx01.bs.ehu.es V4.0 878 alpha and using the binary distribution put together by Albrecht Gebhardt (in http://cran.at.r-project.org/bin/osf/osf4.0/tar/alpha_ev5/) I obtain core dumps whenever I try to use package rpart. I have R REMOVE'd the rpart package, downloaded the source rpart_1.0-7.tar from CRAN and

As of quite recently I experience failures to compile source packages. Messages like * Installing *source* package 'dse1' ... ** libs g77 -mieee-fp -fPIC -g -O2 -c dsefor.f -o dsefor.o gcc -shared -o dse1.so dsefor.o -L/usr/lib/gcc-lib/i486-linux/3.3.3 -L/usr/lib/gcc-lib/i486-linux/3.3.3/../../.. -lfrtbegin -lg2c-pic -lm -lgcc_s -L/usr/lib/R/bin -lR /usr/bin/ld: no se puede

I am trying to compile R on an Itanium machine running Red Hat 7.2 and gcc version 2.96. The build fails with the following symptoms: g77 -fPIC -g -O2 -c cmplx.f -o cmplx.lo g77 -fPIC -g -O2 -c cmplxblas.f -o cmplxblas.lo gcc -shared -L/usr/local/lib -o libRlapack.so dlapack0.lo dlapack1.lo dlapack2.lo dlapack3.lo cmplx.lo cmplxblas.lo -L/usr/local/lib

Hi folks, Suppose I have a series of cases each with categorical factors A, B. What is the best way to "glue" A and B together into a single factor? For example, given A0 B1 ... A1 B1 ... A0 B2 ... A1 B0 ... A0 B0 ... A1 B2 ... then I'd like to end up with a single factor with levels A0B0, A0B1, A0B2, A1B0, A1B1, A1B2 according to all the combinations which actually occur in

Has anyone succeeded in compiling R-1.1.0 on a Digital (Compaq) Alpha running OSF4.0F (or E)? Everything seems to compile OK (except the frequent "Warning: Unresolved:" at link time - this threw me off the scent for a while!), but then at run time I get: Fatal error: The X11 shared library could not be loaded. The error was dlopen: cannot load

In comparing the results of princomp and prcomp I find: 1. The reported standard deviations are similar but about 1% from each other, which seems well above round-off error. 2. princomp returns what I understand are variances and cumulative variances accounted for by each principal component which are all equal. "SS loadings" is always 1. 3. Same happens

Hi, Few days ago I posted a question to r-sig-finance, which I thought would be an easy one. To my surprise I have received no replies, which makes me think that it is either harder than I thought, or that it makes no sense. I am reposting the message (with some modifications) on the R-help in a hope to get some leads, suggestions for alternatives, etc. My apologies to those who had seen this on

Dear R Should I be concerned if the loadings to a Principle Component Analysis are as follows: Loadings: Comp.1 Comp.2 Comp.3 Comp.4 X100m -0.500 0.558 0.661 X200m -0.508 0.379 0.362 -0.683 X400m -0.505 -0.274 -0.794 -0.197 X800m -0.486 -0.686 0.486 0.239 Comp.1 Comp.2 Comp.3 Comp.4 SS loadings 1.00 1.00 1.00 1.00 Proportion Var 0.25 0.25 0.25

Dear all: I'm trying to fit the optimal Box-Cox transformation related to nls (see the code below) for the demand of money data in Green (3th Edition) but in the last step R gives the next error message. Error en `[.data.frame`(eval(object$data), , as.character(formula(object)[[2]])[2]) : undefined columns selected. ?Any idea to solve the problem? Thanks in advance,

I have read in Paul Murrell's book R Graphics about how to use a bitmap as background for a plot (page 107). Also, I routinely use function read.shape() in package maptools to read maps in shapefile format. Now, I would like to overlay an aerial photograph in .jpg format and a map. I think I could do the alignment manually for each case, but wonder if there is a better, automated way. I notice

Hello! Is it possible to use R time series to identificate a process which is subjected to known input? I.e. I have 2 sequences - one is measurements of black box's state and the second is the "force" by which this black box is driven (which is known too) and I want to fit thist two series with AR-process. The "ar" procedure from stats package expects that the force is