search for: gillis

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),

...missing in reviewing the documentation and help files? I can provide code if there is interest in looking into this, otherwise I will continue to assemble my tables the long way with glm() and lm(), though the options and potential of the bestglm() package has me very interested. Cheers, Darren Gillis Biological Sciences University of Manitoba Winnipeg, MB [[alternative HTML version deleted]]

...-52-7275845 > Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | > www.r-statistics.com (English) > > ---------------------------------------------------------------------------------------------- > > > > > > On Sun, Feb 27, 2011 at 6:41 PM, Grant Gillis <grant.j.gillis@gmail.com>wrote: > >> BC1 BC2 1 01/02/87 33 3 1 03/03/87 44 3 > > > [[alternative HTML version deleted]]

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

The entry is probably not igored because of the word deny in your path . You might better set your rule in violation.ignore.d/ directory. At 13:00 09/01/2006, you wrote: >Send Logcheck-users mailing list submissions to > logcheck-users@lists.alioth.debian.org > >To subscribe or unsubscribe via the World Wide Web, visit >

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.

Dear all, version 2.10-0 of package NMOF is on CRAN now. NMOF stands for 'Numerical Methods and Optimization in Finance', and it accompanies the book with the same name, written by Manfred Gilli, Dietmar Maringer and Enrico Schumann.[1] Since the last announcement on this list in 2021, several functions have been added to the package, such as 'barrierOptionEuropean' for valuing