search for: dphil

.../i486-pc-linux- gnu-library/2.6/EBImage/libs/EBImage.so': /usr/lib/libgomp.so.1: cannot allocate memory in static TLS block Error: package/namespace load failed for 'EBImage' - - - - Which is meaningless to me. Any help would be enormously appreciated, thanks. Quin * Quin Wills * * DPhil candidate * * * * Department of Statistics University of Oxford 1 South Parks road Oxford OX1 3TG +44 (0)1865 285 394 * [[alternative HTML version deleted]]

...#39;Year'. The main title and the label for 'y' are as expected. Anyone knows what may be happening? All the Best, Celso Celso F. Rocha de Barros DPhil Candidate in Sociology Lady Margaret Hall, Oxford University

Hi Folks, I compiled and installed Assist-0.1.0; I'm using R-2.0.0 running on SuSe Linux, on a dual AMD64 machine. However, I (apparently randomly) get segmentation faults when I use cubic2. Any ideas? Thanks Simon -- Simon D.W. Frost, MA DPhil Adjunct Assistant Professor Department of Pathology University of California, San Diego UCSD Antiviral Research Center 150 W. Washington St. San Diego, CA 92103 USA Tel: +1 619 543 8080 Ext 275 Fax: +1 619 298 0177 Email: sdfrost at ucsd.edu

...=c("curve1", "curve2"), method="locator") From the help file, this is how I would understand it should be done, but have tried many other combinations, with no luck. Running up-to-date R, R packages and Fedora. Many thanks, Quin -- * * * * * * *Quin Wills* *DPhil candidate* * * *Department of Statistics* *University** of Oxford*** *1 South Parks Road* *Oxford*** *OX1 3TG United Kingdom* *01865 285 394* [[alternative HTML version deleted]]

...getting meaningful spot summary results using duplicateCorrelation() is not possible in my case as the spots are not regularly spaced, and I don't *really* have enough arrays, no? So then what are my other options in Limma to summarise replicated spots? Thanks, Quin * * * * *Quin Wills* *DPhil candidate* * * *Department of Statistics* *University** of Oxford*** *1 South Parks Road* *Oxford*** *OX1 3TG United Kingdom* *01865 285 394* [[alternative HTML version deleted]]

...e my output does not include r-squares (or adjusted r-squares), or, in the case of glmrob, -2log likelihoods. Does anyone know how to get an output that includes these? Thanks so much for the help Celso -- Celso F. Rocha de Barros DPhil candidate in Sociology, University of Oxford [[alternative HTML version deleted]]

.... Schimek* per email: michael.schimek at medunigraz.at <javascript:toMailer('michael.schimek*medunigraz.at');>. *The closing date for the receipt of applications is **March 24th, 2012.* -- =============================================================== Prof. Michael G. SCHIMEK, DPhil, PhD =============================================================== Institute for Medical Informatics, Statistics and Documentation Medical University of Graz Auenbruggerplatz 2/V 8036 Graz AUSTRIA, EUROPE =============================================================== Phone: +43 316 385 Ext. 1426...

...mal inquires, please contact Francesca Moore: francesca.moore at georgeinstitute.ox.ac.uk Or follow the links below: https://www.recruit.ox.ac.uk/pls/hrislivedoc/docs/0001766422.pdf https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.display_form Best regards, Reza Khorshidi, DPhil (Oxon) [[alternative HTML version deleted]]

I am new to the R language. I am trying to plot multiple figures on one page through a loop, but the code just produce one graph on one page. Can someone show some light on what's wrong? Here is my code: library("quantreg") tcdata<-read.table("mydata.txt",header=TRUE) postscript("myfigure.ps") basins<-

We are wanting to use R instead of/in addition to our existing stats package because of it's huge assortment of stat functions. But, we routinely need to fit GLM models to files that are approximately 2-4GB (as SQL tables, un-indexed, w/tinyint-sized fields except for the response & weight variables). Is this feasible, does anybody know, given sufficient hardware, using R? It appears to

Hi, I am trying to write a loop to recode my data from -999 to NA in R. What's the most efficient way to do this? Below is what I'm presently doing, which is inefficient. Thanks, Chris dat0 <- read.table("time1.dat") colnames(dat0) <- c("e1dq", "e1arcp", "e1dev", "s1prcp", "s1nrcp", "s1ints",