similar to: Plyr and memory allocation issue

Hi, I'm running Ubuntu Jaunty, downloading R and Rpy from this repository: deb http://cran.uk.r-project.org/bin/linux/ubuntu jaunty/ When was automatically upgraded, Rpy (which should be downloaded from the same repository) seems to have stopped working. I've tried re-installing the python-rpy package manually. I get the following error when I try to import rpy: >>> import

Dear all, As I couldn't find any thread on the internet I hope the help-list might help me out. I've tried to update Rtools from R210 used in combination with R2.9.1 to R211 in combination with R2.11.1. However, I do not succeed. I have R2.11.1 running, as well as Inno Setup 5, HTML help and MikTex. A version of Perl is installed too. Environment variable paths are set to link to these

Hi, haven't been here for a while, but everyone one was always so helpful I thought I would ask you another really basic question. I'm running R2.9.1 in Ubuntu8.04 on a netbook (maxed out on memory etc so I don't think that's a problem - wth it's a Dell Mini 9" with that lpia non-architecture you told me about). Anyway, some of the graphics functions/parameters are

Hello, I have a question regarding competing risk regression using cmprsk package (function crr()). I am using R2.9.1. How can I do to assess the effect of qualitative predictor (gg) with more than two categories (a,b,c) categorie c is the reference category. See above results, gg is considered like a ordered predictor ! Thank you for your help Jan > # simulated data to test > set.seed(10)

Hello all, I am using 'plot' to create standard curves for elisa data. when I use 'plot' with type='b' i get the points connected with lines and one straigth line from the lowest datapoint to the highest data point. how can i avoid/remove it from the figure. i am using R2.9.1, below is the example of the data. od<-c(10, 8, 6,4,2,1, 10.5,7.8,6.4,3.8,2.1,0.95)

I have hundreds of megabytes of price data time series, and perl scripts that extract it to tab delimited files (I have C++ programs that must analyse this data too, so I get Perl to extract it rather than have multiple connections to the DB). I can read the data into an R object without any problems. thedata = read.csv("K:\\Work\\SignalTest\\BP.csv", sep = "\t", header =

Dear Everyone, I am having problems with use of the reshape package's cast function using length as an aggregating function. Unexpectedly, I receive the error: 2 arguments passed to 'length' which requires 1 I don't understand this at all - the data I'm using is very simple, and appears almost identical to that used in the ChickWeight example in the package. The problem can

Dear list, I can not understand why the expression in the subject does not work correct: > dcrn[which(fn == inve[2])] numeric(0) > inve[2] [1] 406.7 > dcrn[which(fn == 406.7)] [1] 1.3994e-07 1.3988e-07 1.3953e-07 1.3966e-07 1.3953e-07 1.3968e-07 Is this a kick self problem or an bug? Thaks very much Thomas

Hello R users, I have been using R for a while now for basic stats but I'm now trying to get my head around looping scripts and in some places I am failing! I have a data set with c. 1200 data points on 98 individual animals with data on each row representing a daily measure and I am asking the question "what variables affect the animal's behaviour?" the dataset includes

I tried benchmarking the same site behind an NGINX proxy with both fastcgi and mongrel, and for some reason mongrel is performing pretty poorly in comparison. Any idea what I might be doing wrong? Here''s my benchmarks for 1 fcgi: Server Software: nginx/0.4.0 Server Hostname: eship.com.br Server Port: 80 Document Path: / Document Length: 95

Hi everyone, I'm using the Johansen framework to determine a VEC using package urca. I have estimated the corresponding VEC using likelihood ratio test for restrictions on alpha, beta or both and I have generated objects of the class cajo.test. Now I want to diagnostic tests in the model, like heteroskedasticity test, residuals normality and serial autocorrelation, but I cannot find the way

I'm trying to get my HP Office Jet Pro L7680 All-in-one to reliably scan to one of my shared folders using the machine's digital filing capability. 98 times out of 100, when I try to scan, the AIO immediately reports "Cannot connect to \\192.168.254.4\public\scan. Make sure the computer is turned on." The other 2 attempts, it works successfully. My server is currently

Pre-fletching on the file and device level has been disabled yielding good results so far. We''ve lowered the number of concurrent ios from 35 to 1 causing the service times to go even lower (1 -> 8ms) but inflating actv (.4 -> 2ms). I''ve followed your recommendation in setting primarycache to metadata. I''ll have to check with our tester in the morning if it made

I''m running into a issue where there seems to be a high number of read iops hitting disks and physical free memory is fluctuating between 200MB -> 450MB out of 16GB total. We have the l2arc configured on a 32GB Intel X25-E ssd and slog on another32GB X25-E ssd. According to our tester, Oracle writes are extremely slow (high latency). Below is a snippet of iostat: r/s w/s

Dear R-help This is a follow-up to my previous post here: http://groups.google.com/group/r-help-archive/browse_thread/thread/d9b6f87ce06a9fb7/e9be30a4688f239c?lnk=gst&q=dobomode#e9be30a4688f239c I am working on developing an open-source automated system for running batch-regressions on very large datasets. In my previous post, I posed the question of obtaining VIF's from the output of

Hi, I have a question about estimating IRT models by using nlme, not just rasch model, but also other models. Behavior Research Methods <http://www.springerlink.com/content/1554-351x/> Volume 37, Number 2 <http://www.springerlink.com/content/1554-351x/37/2/>, 202-218, DOI: 10.3758/BF03192688 Using SAS PROC NLMIXED to fit item response theory models (2005). Ching-Fan