similar to: Writing data frames

Hi there - Is there a way to write statistical models (trees, naïve Bayes, SVM, etc) to a file and import them again without loss of information? Thanks - Ton Ton van Daelen, PhD Director, Application Support Tel: (858) 279-8800 ext 217 Fax: (858) 279-8804 Web: www.scitegic.com Register now for the 2004 Pipeline Pilot user group meeting Jan 28-30 in San Diego:

Hello all, Sorry for this email not directly related to R developement. I just come from a nice demonstration session from Scitegic about their Pipeline Pilot (PP) software, and especially their 'R collection' which brings R calculations into the software (http://www.scitegic.com/documents/RStats_Collection.pdf). I looked carefully on the way they do it: they pass data from PP to R

Hi, I just encountered a problem in R that may easily be fixed: If one uses attach for a data.frame e.g. 10000 times and forgets detach, then R gets incredibly slow (less then 10% of the original speed). My system: platform powerpc-apple-darwin6.0 arch powerpc os darwin6.0 system powerpc, darwin6.0 status major 1 minor 6.1 year 2002

How can I best achieve the following (works in Splus): filenames <- dos("dir *.sasb7dat /b") What I am asking, more generically, is: how can I capture the output of a DOS command in R? I have tried using system("COMMAND.COM /c dir /b", intern=T, show.output.on.console=T) where intern: a logical, indicates whether to make the output of the command an R

(If this only happens in Win 98, I'm sure I could live with it. Just may be helpful to report it, I hope.) Start up R GUI, then > plot(1:4,1:4) # then close manually by clicking X > plot(1:4,1:4) # ditto > methods(plot) sometimes produces normal output and even the following prompt, but then crashes immediately, or more often, crashes immediately with no output. I can do any

bug.report() tells me to email to r-bugs@r-project.org, whereas the Web site http://www.r-project.org/ points me to r-bugs@biostat.ku.dk. Which should I believe? Simon Fear Senior Statistician Syne qua non Ltd Tel: +44 (0) 1379 644449 Fax: +44 (0) 1379 644445 email: Simon.Fear@synequanon.com web: http://www.synequanon.com Number of attachments included with this message: 0 This

Dear all, I have found the following (for me) incomprehensible behaviour of ISOdate (POSIXct): > ISOdate(1900,6,16) [1] "1900-06-15 14:00:00 Westeurop?ische Sommerzeit" > ISOdate(1950,6,16) [1] "1950-06-16 14:00:00 Westeurop?ische Sommerzeit" Note that in the first case I get the 15th of June back, not the 16th as I would have expected! This happened under R-1.7.1 on

Hello Anyone that now of any function in R that can calculate copulas? Or if anyone have any code avaible I would be more than interested. Thank you in advance /Thomas ______________________________________________ R-help at stat.math.ethz.ch mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help

Greetings everyone, I am new at R. My questions is rather basic. Looking R manuals looks like there should be a way to read MS excel files into R. Could somebody tell me which library should I use for that? Thanks in advance Victor H. Marín Laboratorio de Modelación Ecológica Depto. de Ciencias Ecológicas, Fac. de Ciencias, Universidad de Chile Casilla 653 Santiago, Chile

R version 1.8.1, OS Windows 98 Dear colleagues, if I import vegetation data (first row with column labels and first column with row labels) like 7MYRGERM;7AGRGIGA;7DRYOCTO;5MYRGERM;7SALELEA;7CHOCHON;7SALNIG?;....... t401;5;2;2;3;4;2;2;2;1;2;1;2;2;1;2;2;2;1;2;1;0;0;...... t403;3;0;0;6;4;0;3;0;0;3;0;0;0;0;3;0;0;0;2;0;2;0;..... with read.table("data.file", header=TRUE,

I've searched on CRAN for axes, axis, and other terms I've already forgotten, without (re)discovering the reason for S using "non-joining" axes by default, instead of box("l"). MASS points me towards Cleveland (1993) but I don't have ready access to this any more. Could someone give me a one-liner to justify this choice to a sceptic? It's something to do

Dear R users, I want to share my joy with you. Please see the following excellent introduction to R "Statistiques avec R " by Vincent Zoonekynd http://zoonek2.free.fr/UNIX/48_R/all.html In paticular, you can see a lot of fascinating graphics examples of R from which you can get many hints. Soryy if this is already well-known, but the CRAN search did not show nothing with the keyword

I'm looking for an efficient way of removing zero-variance columns from a large matrix. Any suggestions? Thanks, - Moises [[alternative HTML version deleted]]

Hi all, I hope this isn't a naive newbie question again. Here you can see column 264 of a data frame containing data of the same interview in May and September. Column 264 contains the answers of 49 persons to a question in May. > fbhint.spss1[,264] [1] teils/teils sehr wichtig <NA> <NA> sehr wichtig [6] sehr wichtig sehr wichtig sehr wichtig <NA>

For reasons which I'll spare you, I'm writing a program to analyse R source code. This has led me to probe some of the darker corners of R syntax to find out what is supposed to happen. Now, from reading the R documentation (and the New S book &c) I know perfectly well that f(a, b, etc) <- x is supposed to turn into a <- "f<-"(a, b, etc, value=x) Except,

Dear R users, I want to retrieve "..." argument values within a function. Here is a small exmaple: myfunc <- function(x, ...) { if (hasArg(ylim)) a <- ylim plot(x, ...) } x <- rnorm(100) myfunc(x, ylim=c(-0.5, 0.5)) Error in myfunc(x, ylim = c(-0.5, 0.5)) : Object "ylim" not found > I need to retrieve values of "ylim" (if it is defined

Hi all - I am trying to tune an SVM model by optimizing the cross-validation accuracy. Maximizing this value doesn't necessarily seem to minimize the number of misclassifications. Can anyone tell me how the cross-validation accuracy is defined? In the output below, for example, cross-validation accuracy is 92.2%, while the number of correctly classified samples is (1476+170)/(1476+170+4) =

Hello, I have a big problem which I’m just not able to solve. I created the following mean value from the following dataset structure: Id |value 1 | 2 1 | 3 1 | 4 2 | 2 2 | 1 3 | 5 4 | 3 etc.|etc. with the command: mean_rating <- tapply(ratok$value, ratok$project_id , mean,simplify = FALSE) this gives me a ragged array: > mean_rating [1] $`14`

I have a large dataset (~1 million rows) of three variables: ID (patient's name), DATE (of appointment) and DIAGNOSIS (given on that date). Patients may have been assigned more than one diagnosis at any one appointment - leading to two rows, same ID and DATE but different DIAGNOSIS. The diagnoses may change between appointments. I want to subset the data in two ways: - define groups

The following code works, to gsub single quotes to double quotes: line <- gsub("'", '"', line) (that's a single quote within doubles then a double within singles if your viewer's font is not good). But The R Language Manual tells me that Quotes and other special characters within strings are specified using escape sequences: \' single quote \"