similar to: segfault 'memory not mapped', dual core problem?

G'day all, I had a look at the GLM code of R (1.4.1) and I believe that there are problems with the function "glm.fit" that may bite in rare circumstances. Note, I have no data set with which I ran into trouble. This report is solely based on having a look at the code. Below I append a listing of the glm.fit function as produced by my system. I have added line numbers so that I

Hi, Currently the `gaussian' family's initialization code signals an error if any response data are zero or negative and a log link is used. Given that zero or negative response data are perfectly legitimate under the GLM fitted using `gaussian("log")', this seems a bit unsatisfactory. Might it be worth changing it? The current offending code from `gaussian' is:

Bug summary: glm() causes a segfault if the argument 'data' is a data frame with more than 16384 rows. Bug demonstration: -------input --------------- N <- 16400 df <- data.frame(x=runif(N, min=1,max=2),y=rpois(N, 2)) glm(y ~ x, family=poisson, data=df) ------ output --------------- *** caught segfault *** address (nil),

Hello R Users, I am having difficulty deleting the last warning message in a loop so that the only warning that is produced is that from the most recent line of code. I have tried options(warn=1), rm(last.warning), and resetting the last.warning using something like: > warning("Resetting warning message") This problem has been addressed in a previous listserve string,

Hi everyone: I am just wondering how can I use weights with MCMClogit function (in MCMCpack package). For example, in case of glm function as given below, there is weights option in the arguments. Aparently there is no option of using weights in MCMClogit. glm(formula, family = gaussian, data, weights, subset, na.action, start = NULL, etastart, mustart, offset, control =

Hello, Suppose one is interested in fitting a GLM with a log link to binomial data. How does R choose starting values for the estimation procedure? Assuming I don't supply them. Thanks, Tyler

On 03/23/2016 10:23 AM, Dirk Eddelbuettel wrote: > On 23 March 2016 at 09:35, Barnet Wagman wrote: > | I am unable to install R on an up to date (i.e. apt upgraded) Ubuntu > | 14.04 system. According to > | https://cran.r-project.org/bin/linux/ubuntu/README (and many other sources), > | R is available for this version of Ubuntu (which is a stable version). > | > | I currently

Since there doesn't appear to be an RMySQL rpm for SuSE 8.*, does anyone know if the 7.3 version will work with the SuSE 8.2 rpms of R and DBI? The package installs without complaint, but when I try to run con <- dbConnect(dbDriver("MySQL"),dbname="test") I get the error Error in dbConnect(dbDriver("MySQL")) : couldn't find function

According David Jame's response to my earlier question, there is a problem with setGeneric.setMethod in R 1.8.0 that affects DBI and RMySQL. Is there a fix for this? David Jame's refers to an 'R-patched version' but I haven't seen anything like this on CRAN. Would going back to an older version of R solve the problem? Thanks, Barnet Wagman "David James wrote:

Is it possible to create a database in MySQL via RMySQL? Also, is the format for the authorization field 'userName/password at databasename'? I saw an example like this somewhere in the documenation, but I haven't found the actual specification. Thanks, Barnet Wagman

-------- Forwarded Message -------- Subject: Re: [R-sig-Debian] r-base installation fails on Ubuntu 14.04 Date: Wed, 23 Mar 2016 13:07:44 -0700 From: Barnet Wagman <bdwgen at gmail.com> To: Dirk Eddelbuettel <edd at debian.org> > Lastly, and please don't take this the wrong way: I think I am helping way > more people like you who for one reason or other insist on older

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

I'm fitting some small data sets using a binomial glm with complementary log-log link. In some ill-conditioned cases I am getting convergence failures. I know how to adjust maxit and epsilon, but that doesn't seem to help. In fact I know some very good starting values for my fits, but I can't see how to get them in to glm(). How may I do this? -- Dr Murray Jorgensen

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,

Dear List, I'm trying to create a formula method, allowing for a "special" character in the formula (i.e., similar to for example the gam package with the character "s" in y ~ s(x)). I've checked and it seems this is done through attr(,"specials"). However, the section of code below (as an example extracted from the gam package) gives me an error as shown at

Details in documentation: "All of ?weights?, ?subset?, ?offset?, ?etastart? and ?mustart? are evaluated in the same way as variables in ?formula?, that is first in ?data? and then in the environment of ?formula?." In fact, `data` is usually not an environment, and I have not seen arguments evaluated in `environment(formula)` when `data` is provided. (Information in `environment(formula)`

I haven't been able to find any documentation explaining what these errors mean (and if they're serious). If anyone can give me some guidance on this, I'd very much appreciate it. The error messages are make[4]: *** [ctest-Ex.Rout] Error 1 make[3]: *** [test-Examples] Error 2 make[2]: *** [test-Examples] Error 2 make[1]: *** [test-all-basics] Error 1 make: ***

--fupGvOGOQM Content-Type: text/plain; charset=us-ascii Content-Description: message body and .signature Content-Transfer-Encoding: 7bit There's a simple bug in the handling of the start and offset arguments in glm and glm.fit. The bug exists in the latest development version of R (version information below), but it appears that glm.R has not been touched much lately, so the bug affects at

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