similar to: ESS and R

As I understand it, sum() treats a logical vectors as 1's and 0's, so that > is.logical(c(FALSE,TRUE,FALSE)) [1] TRUE > sum(c(FALSE,TRUE,FALSE)) [1] 1 However, summing the results of an is.na() yields a negative number. Eg > is.na(c(1,NA,3)) [1] FALSE TRUE FALSE > is.logical(is.na(c(1,NA,3))) [1] TRUE > sum(is.na(c(1,NA,3))) [1] -1 (This is from R Version 0.64.0,

>>>>> Jorge Cimentada <cimentadaj at gmail.com> >>>>> on Fri, 10 Nov 2017 14:31:43 +0100 writes: > Thanks to all. Will consider this change in future releases. > ----------------------------------- > Jorge Cimentada > *https://cimentadaj.github.io/ <https://cimentadaj.github.io/>* > On Fri, Nov 10, 2017 at 12:41

Updates to Linux Mint included an update to ESS. After the update, M-x R produces: load ESSR: + + + Error in file(filename, "r", encoding = encoding) : ? cannot open the connection In addition: Warning message: In file(filename, "r", encoding = encoding) : ? cannot open file ?/usr/share/ess/etc/ESSR/R/.load.R?: No such file or directory Any guesses? Thanks, Steve

On Wed, Oct 24, 2018 at 12:13 PM Dirk Eddelbuettel <edd at debian.org> wrote: > > It's just a directory, not an apt repo, so you need to download eg > http://dirk.eddelbuettel.com/tmp/ess/elpa-ess_18.10-1-2_all.deb > and then install it. > > These "work for me" but then I also did not have that recent issue. > Testing feedback (on list or off-list) would

I am having a problem using ESS with R. In particular I have large data objects which exceed the 6Mb default heap memory. Outside of ESS I can run R by specifying large values of --vsize and --nsize but I can't figure out how to do this in ESS. Any help would be much appreciated. -- **************************************************** ** Angelo J. Canty **

I'm encountering a couple problems configuring and making R 0.64 under linux, redhat 5.2 These problems didn't occur when I build 0.63.2 Any suggestions would be greatly appreciated. (1) configure generates the warning: "configure: warning: Cannot determine how to create shared libraries. Please set CPICFLAGS, FPICFLAGS and SHLIBLDFLAGS in `config.site'." I'm not

Does anyone know what algorithm R uses in glm, family=binomial (i.e. a logit model)? I assume that it's in the source somewhere, but I wasn't able to find it. I'd like to know what file it's in (in a unix distribution of R). Thanks for your help. --------------------------- Barnet Wagman wagman at enteract.com 1361 N. Hoyne, 2nd floor Chicago, IL 60622 773-645-8369

Is there anyway (other than 'repeat'') of catching the errors that R throws? Thanks, ------------------- Barnet Wagman wagman at enteract.com 773-645-8369 1361 N. Hoyne Chicago, IL 60622 -------------------- -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

I'm have what's probably a trivial &| silly problem trying to access a c-function in a shared library ( R 0.64, under redhat linux 5.2). R COMPILE rctest.c R SHLIB -o libRC.so rctest.o produce a reasonable looking shared library ('nm libRC.so' shows that the function 'rctest' is present). In R, the command dyn.load("/fullpathname/libRC.so")

> On 9 Nov 2017, at 15:57, Sam Steingold <sds at gnu.org> wrote: > >> * Jorge Cimentada <pvzragnqnw at tznvy.pbz> [2017-11-09 00:02:53 +0100]: >> >> I'm happy to announce the release of ess 0.0.1 a package designed to >> download data from the European Social Survey > > Given the existence of ESS (Emacs Speaks Statistics - >

Thanks to all. Will consider this change in future releases. ----------------------------------- Jorge Cimentada *https://cimentadaj.github.io/ <https://cimentadaj.github.io/>* On Fri, Nov 10, 2017 at 12:41 PM, Rainer Krug <rainer_krug at icloud.com> wrote: > > > On 9 Nov 2017, at 15:57, Sam Steingold <sds at gnu.org> wrote: > > * Jorge Cimentada

Dear R users, I have noticed that my R startup is extremely slow. It takes almost 3 minutes from "double-click" to R prompt. I have been running R-0.64.1 till recently and it took about 30 sec. I still have access to R-0.64.1. When I started it up, it took about 25 sec. Can anyone tell me if this is a bug in R or a problem with my machine? Note: This is after bootup with R being the

I wonder if someone could explain how the following R idiom works (it's used in glm.fit). start <- coef start[fit$pivot] <- coef coef is a vector of coefficients, set by .Fortran("dqrls", ...). fit$pivot is a vector of integer indexes (indicating how dqrls permuted the columns of x). If coef has n elements, fit$pivot is a permutation of seq(1,5). start[fit$pivot]

Dear R-ers, somehow it is not possible to increase nsize to more than 20000k. When I specify e.g. > R --vsize=10M --nsize=21000K the result is: free total (Mb) Ncells 99658 350000 6.7 Vcells 1219173 1310720 10.0 Maybe I have overlooked s.th.... Marcus -- +------------------------------------------------------- | Marcus Eger | E-Mail: eger.m at gmx.de (NEW) |

I am running R version ??? under Redhat 5.2. It seems as though the --nsize object has no effct on the size of the allocated Ncells as determined using gc(). Yes, I have that much data.... That is if I envoke R with R --vsize 100 --nsize 5000000 then type gc() I get free total Ncells 92202 200000 Vcells 12928414 13107200 Thanks Tony Long Ecology and Evolutionary Biology Steinhaus

I'm trying to get R and ESS to work with Xemacs on a newly installed SuSE 9.0 system. Is some setup required beyond installing the rpms? I've installed the Xemacs packages from SuSE xemacs-info-21.4.13-35 xemacs-packages-el-20030629-37 xemacs-21.4.13-35 xemacs-el-21.4.13-35 xemacs-packages-info-20030629-37 xemacs-packages-20030629-37 ess-5.2.0beta3-1.i586.rpm

My group is working with datasets between 100 Mb and 1 GB in size, using multiple log ins. From the documentation, it appears that vsize is limited to 2^30-1, which tends to prove too restrictive for our use. When we drop that restriction (set vsize = NA) we end up hanging the server, which requires a restart. Is there any way to increase the memory limits on R while keeping our jobs from

Please ignore (and excuse) my previous message - it is incomplete. I'm trying to get R and ESS to work with Xemacs on a newly installed SuSE 9.0 system. Is some setup required beyond installing the rpms? I've installed the Xemacs packages from SuSE xemacs-info-21.4.13-35 xemacs-packages-el-20030629-37 xemacs-21.4.13-35 xemacs-el-21.4.13-35 xemacs-packages-info-20030629-37

I am trying to translate code from S-PLUS to R and R really struggles! After starting R with the foll. R --vsize 50M --nsize 6M --no-restore on a 400 MHz Pentium with 192 MB of memory running Linux (RH 6.2), I run a function that essentially picks up an external dataset with 2121 rows and 30 columns and builds a lm() object and also runs step() ... the step() takes forever to run...(takes very

Dear all, I don't get it: First of all, the help doesn't say what are the memory limits of R. Say, what's the max heap size for instance ???? Secondly, I invoke R with the following commands each time: rgui --vsize 30M --nsize 1000K rgui --vsize 30M --nsize 2000K rgui --vsize 30M --nsize 3000K rgui --vsize 30M --nsize 4000K I try to open a matrix 8000x8000 by issuing