search for: gilly

This seems newbish, but I can''t seem to get this gem to install no matter what I do. The gem in question is login_generator, and no matter what folder I put the .gem file in, it can''t read locally - am I missing something? Remote install hangs at updating the source. -- Posted via http://www.ruby-forum.com/.

Hi, I'm trying to make a legend with a justified list of numbers, so I thought I would use phantom(0) to align the 3-digit numbers properly with the 4-digit ones: legend(x, y, xjust=1, yjust=1, lty=c(1,2,3,4,5), adj=c(0,0.5), legend=expression(phantom(0)*300*plain(K), phantom(0)*550*plain(K), phantom(0)*830*plain(K),

I recently found the "bestglm" package while trolling CRAN for a function to save some keystrokes with simple (k<10) nested models. I am interested in using the best of several nested linear models which I have explored using lm(), glm() and now bestglm(). When I compare the AIC values for the 'best' candidate model I get the same AIC values with lm() and glm() but a

Hi Again, Thanks very much for your response. It seems my example got rearranged (transposed?) after I posted it. Hopefully this example will be more clear. I have one file (ex. sheet 1) that will have a column for individuals (ind) and a column for the date (date). I would like to merge this with another file (ex. sheet 2) that has both the 'ind' and date column as well as associated

Greetings all, I am using lmer (lme4 package) to analyze data where the response is a proportion (0 to 1). It appears to work, but I am wondering if the analysis is treating the response appropriately - i.e. can lmer do this? I have used both family=binomial and quasibinomial - is one more appropriate when the response is a proportion? The coefficient estimates are identical, but the standard

Hi, I patched my R-1.1.1 sources to add support for a couple more fonts to the postscript device. It works for alphanumeric characters, but I notice that I should be supplying an AFM file with ISOLatin1Encoding (I'm using a standard AFM for now, and get some parsing errors from R when I open the postscript device). Is there a program/script which will re-encode my AFM files from

Hello all and thanks in advance for any help or direction. I have co-authorship data that looks like: Paper Author Year 1 SmithKK JonesSD 2008 2 WallaceAR DarwinCA 1999 3 HawkingS 2003 I would like: Paper Author Year 1 SmithKK 2008 1 JonesSD 2008 2

R version: 0.62.1 (June 15, 1998) I just very naively attempted to grab the 'bicreg' package for Bayesian model selection from the StatLib library, and get it running under R. I've hit a brick wall very quickly, and as an R novice I'm not sure where to go next. Here's what happened: > bicreg(as.matrix(hiv[,c(-17,-18)]),as.matrix(hiv[,18])) Error: invalid formula >

Hi all, we have special scenario with a slow file share where Samba (maybe combined with other tools) could help by acting like as a CIFS proxy and caching system: We're testing an Alfresco ECM System which has a CIFS subsystem (based on jLAN) that is simply to slow for our needs. In this setup the appserver Alfresco (SUSE on vmwars ESXi) and the clients are on a local LAN with Gb Ethernet

Hello, I have what I suspect might be an easy problem but I am new to R and stumped. I have a data set that looks something like this b<-c(2,3,4,5,6,7,8,9) x<-c(2,3,4,5,6,7,8,9) y<-c(9,8,7,6,5,4,3,2) z<-c(9,8,7,6,1,2,3,4) data<-cbind(x,y,z) row.names(data)<-c('a','b','c','d','e','f','g','h') which gives: x y z

Dear List, I have data on a approximately 100 individuals visiting a a central logging station over a 1000 times. I would like to be able to calculate the distribution of inter-visit time intervals for all possible pairs am stuck on how to code for this. Single pairs are not a problem but extending it has been difficult for me. So for the toy data below I'd like to calculate for each

...mailing list >Logcheck-users@lists.alioth.debian.org >http://lists.alioth.debian.org/mailman/listinfo/logcheck-users > > >End of Logcheck-users Digest, Vol 5, Issue 1 >******************************************** "This machine has no brain ... Please use your own" Cyril Gilly cyril.gilly@eisti.fr EISTI Avenue du Parc 95 011 CERGY 01 34 25 10 33

Dear List, I am having trouble with a tricky merging task. I have one data sheet that has dates (continuous) that radio collared individuals were monitored via telemetry. I have a different sheet containing data from instances where individuals were recaptured and associated body condition data was recorded (sheet 2). I would like to merge the two sheets by individual and date (I can do this

Dear list, I'm using R in a corporate environment and was interested how R checks integrity of packages during an installation. I saw (and verified my suspicion in the code[1]) that the verification purely relies on MD5. >From an IT security perspective, this can be improved. My question is: Is is possible to force R to verify integrity via SHA256 or even OpenPGP signatures? If not are

Hello All and thanks in advance for any advice. I have a data frame with rows corresponding radio-collared animals (see sample data below). There is a start date (DATESTART), and end date (DATEEND), and the number of days on air (DAYSONAIR). What I would like to do is add a column called DATE to so that each row ID has a row for every day that the radio collar was on the air while copying all

I have installed the binary packages for Debian GNU/Linux release 2.3 (woody) in the U.S. mirror of the CRAN archive. They should propagate to the main CRAN archive within a day and to the other mirrors within two days. These packages have been compiled with gcc-3.0 and g77-3.0. I believe the testing distribution currently provides only a snapshot of gcc-3.0, not the latest released version, so

I have installed the binary packages for Debian GNU/Linux release 2.3 (woody) in the U.S. mirror of the CRAN archive. They should propagate to the main CRAN archive within a day and to the other mirrors within two days. These packages have been compiled with gcc-3.0 and g77-3.0. I believe the testing distribution currently provides only a snapshot of gcc-3.0, not the latest released version, so

Dear all, The background is that I'm trying to fix this bug in the geometry package: https://r-forge.r-project.org/tracker/index.php?func=detail&aid=1993&group_id=1149&atid=4552 Boiled down, the problem is that there exists at least one matrix X for which det(X) != 0 and for which solve(X) fails giving the error "system is computationally singular: reciprocal condition

Hello All, Once again thanks for all of the help to date. I am climbing my R learning curve. I've got a few more questions that I hope I can get some guidance on though. I am not sure whether the etiquette is to break up multiple questions or not but I'll keep them together here for now as it may help put the questions in context despite the fact that the post may get a little long.

Hello and thanks in advance for any help, I am using the 'multinom' function from the nnet package to calculate a multinomial logistic regression. I would like to get a matrix estimates of the estimated coefficient variances and covariances. Am I missing some easy way to extract these? Grant [[alternative HTML version deleted]]