similar to: Network issue

Hi Stephen, Thanks very much for getting back to me. My problem is described below. Any help would be greatly appreciated. Thanks, James Hi, Sorry for bothering you because I know that your time is voluntary, but I would really appreciate some help. I work in a hospital in part of Ireland?s national health service, a service which was struck by a massive cyber attack a couple of years ago. Since

Dear All, 1. Does anyone have experience of running R on a server inside a Citrix shell - I'd like to get R onto the server and would be greatful for any tips or direction on the matter. 2. This may seem like a silly question so forgive my ignornace. Most of the data I currently work with is held on a number of Lotus Notes (LN) Databases (well it's called a DB here but it's really a

Hi all, simple Q: how do I extract the upper and lower CI for predicted probabilities directly for a glm - I'm sure there's a one line to do it but I can't find it. the predicted values I get with the predict (.. "response") Thanks Gerard ********************************************************************************** The information transmitted is intended only for

Dear all, The standard call to ARIMA in the base package such as arima(y,c(5,0,0),include.mean=FALSE) gives a full 5th order lag polynomial model with for example coeffs Coefficients: ar1 ar2 ar3 ar4 ar5 0.4715 0.067 -0.1772 0.0256 -0.2550 s.e. 0.1421 0.158 0.1569 0.1602 0.1469 Is it possible (I doubt it but am

Hi everyone, newbee query! I've installed R 2.8.0 and tried to run this simple glm - x is no of cars in a given year, y is the number voted in an election that year while n is the population 18+: votes <- data.frame(x = c(0.62,0.77,0.71,0.74,0.77,0.86,1.13,1.44), + y=c(502,542,711,653,771,806,934,1123), n=

Hi all, I have a multiple queing situation I'd like to simulate to get some idea of the distributions - waiting times and allocations etc. Does R has a package available for this - many years ago there used to be a language called "simscript" for discrete event simulation and I was wondering if R has an equivalent (or hopefully with graphics, something better!). Apologies if there

The article on BMA (Bayesian model averaging) presents most valuable tools for model selection, but I find one detail confusing in Example 1. In page 4 of RNews 5/2, second paragraph says that the probability of Time variable not being in the model is 0.445. It seems to me that the figure should be 1 - 0.445 = 0.555, because p!=0.445 is the prob. of Time variable being in the model. The plot in

Dear all, I've replicated the cheese tasting example on p175 of GLM's by McCullagh and Nelder. This is a 4 treatment (rows) by 9 ordinal response (cols) table. Here's my simple code: #### cheese library(MASS) options(contrasts = c("contr.treatment", "contr.poly")) y = c(0,0, 1, 7, 8,8,19, 8,1, 6,9,12,11, 7,6, 1, 0,0, 1,1, 6, 8,23,7,

Hi all, apologies if this is obvious - but I can't see it and would appreciate some quick help! the matrix mhouse is 26x3 and I'm computing odds ratios. The simple code below "should" compute the odds vector for every pair (325) i.e. 26C2 in cols 1 and 2. On the first i=1 outer loop the inner j loop runs from 2 to 26 ok and then I get the error (Error: subscript out of bounds)

Hi, I have a valid SPSS .sav file (which I can open happily in SPSS v11 on Windows XP). Opening it in R2.41 on Linux we get this message :- > HSE3023 <- read.spss("HSE.sav") Error in read.spss("HSE.sav") : error reading system-file header In addition: Warning message: HSE.sav: Variable X234 indicates variable label of invalid length 256 Now variable X234 has indeed a

Dear all, sorry to bother you all with this but I've been trying to use the loglm in MASS package (v2.8.0) and cannot get any sensible output. I'm wondering am I doing something very foolish or missing something obvious. For example, I tried the documentation help(loglm) example - here's the code # Case 1: frequencies specified as an array. sapply(minn38,

Dear R users, I'm using the "reldist" add-on package to calculate relative distribution in R as part of my research project. The subject is a general mental health score ranging from 0 to 12 (integer values only) with 0 indicating no mental health problem and positive values meaning some or sever mental health problem. When I run the programme to compare the scores of population

I am running CentOS 4.7, presently on an older box (PIII slot 1 processor @ 500mhz with 384meg of RAM, using SCSI disks with an AHA-2940 host controller). I have built a new box: AMH Semporon 2.<mumble> GHZ, 2gig of RAM. I put in a AHA-29160 host controller (uses same driver as the AHA-2940). The motherboard is an ASROCK thing with nVideo's chipset: nv's SATA controller and

I've been working on a new package and I have a few questions regarding the behaviour of the nlm function. I've been (for better or worse) using the nlm function to fit a linear model without suppling the hessian or gradient attributes in the objective function. I'm curious as to why the nlm requires 31 iterations (for the linear model), and then it doesn't work when I try to add

Use a more common logging style. Miscellanea: o Coalesce formats and realign arguments o Neaten a few macros now using pr_<level> Signed-off-by: Joe Perches <joe at perches.com> --- drivers/gpu/drm/gma500/cdv_intel_lvds.c | 9 ++++----- drivers/gpu/drm/gma500/oaktrail_lvds.c | 18 +++++++++--------- drivers/gpu/drm/gma500/psb_drv.h | 5 ++---

#This is probably due to my incomplete understanding of grep, but the below code has been working for some time to #search for .R with anything in front of it and return a list of scripts to source. Likely, the syntax for the #grep statement has been wrong all along. scripts2source <- (c("/home/ssefick/R_scripts/Convert_package.R",

Hi all, I'm using Debian, I want to make a local repository which can let me install packages more conveniently. Considering that the rsync tool is the Debian official proposed tool for syncing the files among its different rsync server sites, I use the rsync client to downloading the deb packages from the different rsync servers distributed around the world-wide for good loadbalancing and

http://bugzilla.mindrot.org/show_bug.cgi?id=585 Summary: sshd core dumping on IRIX 6.5.18 with VerifyReverseMapping enabled Product: Portable OpenSSH Version: -current Platform: MIPS OS/Version: IRIX Status: NEW Severity: major Priority: P2 Component: sshd AssignedTo:

I am not entirely sure what is going on. I am sure that I am missing something. maptools won't detach... Thanks for all of your help. R 2.11.1 OS Ubuntu 10.04 R --vanilla install.packages("sp", dep=TRUE) Loading required package: reshape Loading required package: plyr Loading required package: grid Loading required package: proto This is vegan 1.17-3 Loading required package:

I have a frustrating issue which I am hoping someone may have a suggestion about. I am running XP and R 2.12.0 and saved an EXCEL file that I was sent as a csv file. The initial code I ran follows. dec <- read.csv("g://FMH/FO30122010.csv",header=T) dec.open <- subset (dec, Status == "Open") table(dec.open$AMHS) I was checking the output and noticed a difference