similar to: Ph.D. position at RWTH Aachen

Simply gooling for "writing ARFF file in R" gave the following as first hit, which is right on the WEKA page: Miscellaneous code [...] Function for reading ARFF files into the R statistical package (kindly provided by Dr Craig Struble). Function for writing ARFF files from the R statistical package (kindly provided by Nigel Sim).

On 24/03/2005, at 10:10 PM, David Ruau wrote: > I am working with R on 2xG5 1.8Ghz from Apple under 10.3.8 > The G5 chip is 64 bits but does R run in 64 bit or 32 under OS X? > How can know? > I think it run in 32 bits... but not sure... > It is not possible to build and run 64bit apps in MacOS X under 10.3.x. The problem is not just the compiler. For a workable 64 bit app you

It seems there are a number of Centos users in the Cologne/Bonn/Aachen area of Germany. If there is not one already (and please let me know if there is!) I'd like to start a Linux User Group (including Centos) for this area. I'm way down in Blankenheim, though. Would someone like to volunteer a location? I envision alternating meetings between the three cities if possible... just

Dear experts, to monitor performance of applications on our private clouds I decided to use Xenoprof. For that, I installed patched OProfile 0.9.5 on Dom0 and DomU. Then, I started the daemon on Dom0 opcontrol --start-daemon --active-domains=1 --separate=library --event=LLC_MISSES:90000 and received the following error: /usr/local/bin/opcontrol: line 1171: echo write error: invalid

Hi, after standardizing my data by dividing each covariate by its mean, the hazard ratio of variables ranges btw ~ 0.5 and 3.55. when i test the PH assumption by cox.zph, rho ranges btw -0.4235863 and 0.359827. visualizing the PH assumption by plot, the plot of scaled schoefeld residuals against transformed time doesn't give a line with slope 0 for all covariates. note that there are 100

Hello, I want to generate data set from Cox PH model with gamma frailty effects. theta(parameter for frailty distribution)=2 beta=1.5 n=300 cluster size=30 number of clusters=10 I think I should first generate u from Gamma(Theta,theta) and then using this theta I could not decide how I should generate the survival times? Is there any package for this? or any document you could suggest? Any

From: Peter Oberparleiter <peter.oberparleiter at de.ibm.com>, Heiko Carstens <heiko.carstens at de.ibm.com> Change s390's sysstub.ph so it can also handle syscalls with six parameters. Signed-off-by: Peter Oberparleiter <peter.oberparleiter at de.ibm.com> Signed-off-by: Heiko Carstens <heiko.carstens at de.ibm.com> --- usr/klibc/arch/s390/sysstub.ph | 73

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Hi, Re: http://optics.ph.unimelb.edu.au/help/samba/findsmb.1.html http://www.cl.cam.ac.uk/~pb/NSLU2/NSLU2.html#S0500 Could you please advise whether or not "findsmb" should work on a WindowsXP machine?. *'findsmb' is not recognized as an internal or external command, operable program or batch file.* ** I'm trying to set-up a Linksys NSLU2 to run Apache, php and MySQL and am

I'm doing prediction of the survival cases using gene expression profiles(Affymetrix chips). Can somebody tell me how to use the Cox PH model to select genes and make a prediction of survival? Thanks. Guangchun

Dear r-users, I want to use the Cox's ph model to analyze survival data set. How can I extract the model coefs. and Wald test p-value or Score? For example: I use the data set melanom in iSwR package. > library(survival) > data(melanom) > attach(melanom) > cox.model <- coxph(Surv(days,status==1)~sex) > summary(cox.model) Call: coxph(formula = Surv(days, status == 1) ~

Hi All, I'm learning the R codes for Cox PH modeling. Could I ask you what the function of "factor" in modeling? Thank you! When dealing with the categorical covariates (for example 3 groups), it will come out different results if we add the command "factor" in front of the categorical covariate or not: if we don't add "factor", there is only one

Dear R-list users, I am trying to do simulation of survival data to enable it to run under frailty option. Below is the function a that I am using. My questions are: 1. How do I modify it to get bigger (hopefully significant) value of Variance of random effect? 2. What changes do I have to make in the function to run it under correlated frailty model? (may be in kinship package) 3. Is there

Hi all, I was trying to test the assumption of proportional hazards assumption, I used the cox.zph function >cox.zph(coxfit6) Results are: rho chisq p x1 -0.0396 1.397 2.37e-01 x2 0.1107 9.715 1.83e-03 x3 -0.0885 7.743 5.39e-03 x4 0.0366 1.092 2.96e-01 x5 0.0242 0.455 5.00e-01 GLOBAL

Hi All, I have a left truncated, right censored cox model: coxph(Surv(start, stop, censor) ~ x + y, mydata) I would like to know how much of the observed variance (as a number between 0 and 1) is explained by each variable. How could I do that? Adding terms sequentially and then using anova(mod1, mod2) tells me whether I get a significant improvement of the fit, but does not tell me how much

Hello all, I am a medical student and as a capstone for my summer research project I am going to create a simple online web "calculator" for users to input their relevant data, and a probability of relapse within 5 years will be computed and returned based on the Cox PH model I have developed. The issue I'm having is finding a definitive method/function to feed the user's

SCHOOL OF COMPUTING University of Teesside Fully funded University Ph.D. studentship (3 years) Ref: QinOCT11 Applications are invited for a Ph.D. student to work on program analysis and software verification or a closely related topic under the supervision of Dr. Shengchao Qin in the School of Computing in Teesside University. Dr. Qin currently has a number of postdoc and Ph.D students in his

Here is an example of how to do it. > library(survival) > vfit <- coxph(Surv(time, status) ~ celltype + trt, data=veteran) > userinput <- data.frame(celltype="smallcell", trt = 1) > usercurve <- survfit(vfit, newdata=userinput) #the entire predicted survival curve > user2 <- summary(usercurve, time= 2*365.25) # 2 year time point > user2$surv [1]

Hello all, thanks for your time and patience. I'm looking for a method in R to analyse the following data: Time to waking after anaesthetic for medical procedures repeated on the same individual. > str(mysurv) labelled [1:740, 1:2] 20 20 15 20 30+ 40+ 50 30 15 10 ... - attr(*, "dimnames")=List of 2 ..$ : NULL ..$ : chr [1:2] "time" "status" -

This is a question about the use of the Cox proportional hazards model to analyze event histories. I am looking at the responses of sympathetic nervous system activity to a stimulus. The activity I observe is a burst that can only occur once per heart beat cycle (e.g., a binary count). Typically bursts occur in 60-80% of the heart cycles * sensory stimuli can modify these burst probabilities.