similar to: Row-binding factor variables looses the ordered attribute.

Dear all!! I am using R1.4.1 on windows 98. I had been trying to organize the package and has already been able to document some of the functions in to .Rd (R documentation) files. From these .Rd files I generated plain text files as well as html files. I have also given the 00Index file in each of the directories: html/ help/ data/ man/ Problem: I don't get the help using comand

(I tried to send this earlier, but it doesnt seem to have come through, due to problems on my system) Hola: Both cannot be correct: > m <- matrix(1:4, 2) > svd(m) $d [1] 5.4649857 0.3659662 $u [,1] [,2] [1,] -0.5760484 -0.8174156 [2,] -0.8174156 0.5760484 $v [,1] [,2] [1,] -0.4045536 0.9145143 [2,] -0.9145143 -0.4045536 > La.svd(m) $d [1]

Hello, sorry but i found no way or help to work with multiple graph devices (Rdocs,SearchIndex). When is use the function only the graphic device of the last variable is open. How is it possible to let the several plot-device open or save this in a file with different names ? (win 2000 - R1.4.1) thanks for advance & regards,Christian normal <- function(x) { par(mfrow=c(2,2))

(I sent this earlier, but it seems not to have come through, due to problems witkh my system) The following command from appendix A, "a sample session", isnt correct: contour(x, y, fa, nint=15) when used R protests: Warning message: parameter "nint" couldn't be set in high-level plot() function it should probably be nlevels, as used a few lines before. This is

Dear all, I have a 100 iteration loop. Within each loop, there are some calls to rpart() like: ctl <- rpart.control(maxcompete=0, maxsurrogate=0, maxdepth=10) temp <- rpart(y~., x, w=wt, method="class", parms=list(split="gini"), control=ctl) res <- log(predict.rpart(temp, type="prob")) newres <- log(predict.rpart(temp, newdata=newx,

I can use the Rdbi package to connect to a PostGreSQL server fine but when I use the dbDisconnect(), I get a segmentation error and it throws me out of R. I'm using RH7.2, R1.4.1, Rdbi 0.1-2, and Rdbi.PgSQL 0.1-2. Anyone else seen anything like this and have an possible answer? Andrew Schuh -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing

one more bit of information about this problem. If I start R as the user "postgres" i dont have the segmentation fault. ---------- Forwarded message ---------- Date: Wed, 5 Feb 2003 19:19:39 -0500 (EST) From: Rafael A. Irizarry <ririzarr at jhsph.edu> Reply-To: rafa at jhu.edu To: "R-Help (E-mail)" <r-help at r-project.org> Subject: rdbi segmentation fault hi! i

Hi All, I am trying to install R1.3.1 on solaris 2.6 using the gcc/g77 compiler. The configure step succeeded, but make failed. The compiler versions I used are: gcc version 2.95.2 19991024 (release) g77 version 2.95.2 19991024 (release) CC workshop Compilers 5.0 98/12/15 C++ 5.0 I can't use the c++ compiler(v2.95.2), since it failed the configure step. I can't use f77 either,

Hi, I have a problem with the memory size within R. I would like to know if there is any may for getting back free memory during a R session. I've tried with rm and gc but it still craches. I am working on windows R1.3.1. I know I have big datasets, but during my study, some results are temporary, and I would like to get back the memory allocated to this temporary object as soon as I remove

Dear R People: Here is a very simple question, please: I have a data frame with the state name, state division, and population. Note: state division is something like Atlantic, Mountain, etc. I want to produce a table with the state division and the total of the populations for the states within that division. I've been messing with "table" but so far, no luck. This is R1.3.1,

Hello, Although your message is not very explicit about the structure of your data frame, I think you can get what you want by using a combination of the function "split" and the "apply" functions family: apply, lapply and sapply. If you provide a more detailed organization of your data frame, perhaps we can give to you a more wiser advice. Thanks, Carlos. P.S: By the way,

Hello, I have a vector {a, b1, b2, b3, b4}. How can I calculate the following matrix: var(a) cov(a, b1) cov(a, b2) cov(a, b3) cov(a, b4) cov(a, b1) var(b1) cov(a, b2) cov(a, b3) cov(a, b4) ... ... cov(a, b1) cov(a, b2) cov(a, b3) cov(a, b4) var(b4) I would very appreciate your inputs. Thank you very much. Sincerely, Jialin Huang [[alternative HTML version deleted]]

Dear Mr. Therneau, Mr. Fox, or to whoever, who has some time... I don't find a solution to use the "survfit" function (package: survival) for a defined pattern of covariates with a Cox-Model including a time dependent interaction term. Somehow the definition of my "newdata" argument seems to be erroneous. I already googled the problem, found many persons having the

There appears to be a problem with name matching in list assignment: Version 0.63.0 (November 14, 1998) ... > r <- list() > r$forecast.cov.trend <- 1:12 > r$forecast.cov.zero <- 1:12 > r$forecast.cov <- 1:2 > length(r$forecast.cov) [1] 0 #should be 2 > But note that this works correctly: > r <- list() >

Dear R community Have just recently got back into R after a long break and have been amazed at how much it has grown, and how active the list is! Thank you so much to all those who contribute to this amazing project. My question: I am trying to calculate Mahalanobis distances for a matrix called "fgmatrix" >dim(fgmatrix) [1] 76 15 >fg.cov <- cov.wt(fgmatrix)

rkotler at mipsswbrd006-le:~/caviumllvm/build/test$ make Making LLVM 'lit.site.cfg' file... Making LLVM unittest 'lit.site.cfg' file... ( ulimit -t 600 ; ulimit -d 512000 ; ulimit -m 512000 ; ulimit -s 8192 ; \ /usr/bin/python /home/rkotler/workspace/llvm/utils/lit/lit.py -s -v . ) XPASS: LLVM :: tools/llvm-cov/llvm-cov.test (8916 of 9784) ******************** TEST

Dear list, what is the fastest way to compute a multivariate mean and cov-matrix? I presume that the mean is computed in cov, so it may be a waste of time to compute the mean first and then a second time inside of cov. Is it faster to use cov.wt, which gives cov-matrix and center? And: If mean and cov should be computed on a part of the data, is it faster to use cov.wt with some weights zero, or

Dear all, Paulo Ribeiro, p.ribeiro@lancaster.ac.uk, and myself noticed that R sometimes breaks down with a segmentation fault of (at least for us) unknown course. (We've read #411 and #671 in the bug report on "optim" -- the problem described there sounds familiar; but we have not found any hint on a segmentation fault.) Please find at the very end of this email the file

I am running a 3-parameter nonlinear fit using the default Gauss-Newton method of nls. initialValues.L = list(b=4,d=0.04,t=180); fit.nls.L = nls( myModel.nlm , fData.L, start = initialValues.L, control = nls.control(warnOnly = TRUE), trace=T ); summary.nls.L = summary(fit.nls.L); I run the same analysis in SAS proc NLIN. proc nlin data=apples outest=a; parms b=4 d=.04 t=180; model Y =

>Hi Petr, > >thank you, I got it. In fact I was looking for the function aggregate() which I didn't know. > >aggregate(x = t(data), by = list(cov$Month, cov$Area), FUN = "sum") > >that is doing exactly what I need. > >Anne >-----Urspr?ngliche Nachricht----- >Von: "Petr PIKAL" >Gesendet: 20.12.2010 14:23:50 >An: "Anne-Christine