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Dear List, After including cluster() option the coxreg (from eha package) produces results slightly different than that of coxph (from survival) in the following time-dependent treatment effect calculation (example is used just to make the point). Will appreciate any explaination / comment. cheers, Ehsan ############################ require(survival) require(eha) data(heart) # create weights

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Hello all! As beginner I'm struggling for a while with time zones issue and can't find a suitable solution. I would be grateful for any help. Dataset imported from excel has a variable transplant.date which has been recorded with CET time zone. > subDataset$transplant.date [1] "2000-01-01 CET" "2000-01-01 CET" "2000-01-02 CET" "2000-01-02 CET"

Hello, I'm new to R and I'm trying to define new quite simple variable but I'm struggling with R syntax (when coming to dates) for a while and still getting <errors> on it. I would be very grateful if someone could help me with this, to be able to move on. I have the following variables: - Transplant.date - Faildate - Death.date The new variable Time should do the

...#library(gmodels) env=c("r","r","w","w","r","r","w","w","r","r","w","w","r","r","w","w") # type of environment to where populations were transplanted (fixed effect) origin =c("r","r","r","r","r","r","r","r","w","w","w","w","w","w","w","w") # type of environment from where populations...

Hello, I have a problem regarding calculation of Cumulative Incidence Function. The event of interest is failure of bone-marrow transplantation, which may occur due to relapse or death in remission. The data set that I have consists of- lifetime variable, two indicator variables-one for relapse and one for death in remission, and the other variables are donor type (having 3 categories), disease

...ght in aov(), in lme() it appears impossible to get as expected. I would be greatful for any help. My experiment aimed to identify whether two fixed factors (habitat type and soil type) affect the development of plants. I took soil from six random sites each of two types (arable and grassland) and transplanted them back into the sites of origin in such way that in each of the sites there were six pots containing arable soil and six pots of grassland soil, each containing a seedling. With aov(), I got the analysis as I expected, with habitat type tested against destination site, and soil type tested agai...

Hi all, I've a 30TB hardware based RAID array. Wondering what you all thought of using ext4 over XFS. I've been a big XFS fan for years as I'm an Irix transplant but would like your opinions. This 30TB drive will be an NFS exported asset for my users housing home dirs and other frequently accessed files. - aurf

Dear everyone, My question involves the use of the survival object. We can have Surv(time,time2,event, type=, origin = 0) (1) As detailed on p.65 of: http://cran.r-project.org/web/packages/survival/survival.pdf My data (used in my study) is 'right censored' i.e. my variable corresponding to 'event' indicates whether a person is alive (0) or dead (1) at date last seen

Dear R user, I'm relative new and need some help / advise from you. I have organised my data in several frames, mainly because the data came from different sources. One common variable in all data frames is the day post transplantation. I would like to combine the data frame to one big data frame which contains all the data, however no duplicate rows should occour (only one row for one

I want to essentially transplant my existing Asterisk server to a new machine, and take the old sever out of service. Assuming I install Asterisk on the new machine, does anyone know what files I would have to copy over? What comes to mind are the *.conf files in /etc/asterisk, as well as the voicemail audio files. Anything else? -------------- next part -------------- An HTML attachment was

A user asked me about this and I can't figure it out. tmt% R R Under development (unstable) (2018-04-09 r74565) -- "Unsuffered Consequences" Copyright (C) 2018 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-bit) > library(survival) > data(cgd0) Warning message: In data(cgd0) : data set ?cgd0? not found ---- The data set is present and can be

Hi all, Recently I have implemented a transformation pass based on LLVM3.5 and its function is to duplicate the function's argument list in a bytecode file and replace all use of original function with modified function. In LLVM3.5, the pass can work properly. However, when I tried to transplant the pass to LLVM3.9, the error "Argument value does not match function argument type!"

Am 17.07.2016 um 17:48 schrieb Xen: > I do not know if you are visually impaired yourself. I had a friend who > was a great programmer but his eyesight was so bad that his computer > operation was so severely limited that the simplest of things (for me) > were very hard for him because his reading speed was just way below mine. > > Not saying that to be negative. Just saying that

Dear List, I have a theoretical question related to epidemiological data analysis: If the treatment status (tx = 0,1) changes over time for the patients in a non-randomized cohort, is there a way to estimate the treatment effect? (i.e., after joining the study, some patients may have to wait for a period of time before receiving the treatment, i.e., the situation of patient with id == 2 for the

Hi, I'm trying to transplant samba 3.2 to my mips board. I did it but smbd is too big, about 8MB, I decided to reduce the code size. I just want the file share/display funcs between my box and windows PC. The first function I want to drop is network printer. So is there a specific option to drop all printer code? It seems to take quite a lot of time to let me comment out things I

I posted several months about the problem with adding tick marks to curves using lines.survfit. This occurs when lines.survfit is used to add a curve to survival curves plotted with plot.survfit. The help for this function implies that mark.time=TRUE thus: plot(pfsfit,conf.int=FALSE,xscale=365.25,yscale=100,xlab="Years",ylab="% surviving",lty=2,mark=3)

...invoke lli and pass it a list of passes to run, in the manner of opt. For example: > lli -load=llvm/mem_trace_pass/bin/lib/hello.so -hello ./my_bitcode.bc The current implementation of lli (updated from SVN as of three nights ago) doesn't seem to support this. Too see if it would work, I transplanted the required functionality from the opt tool, so the above invocation now works - the pass 'hello' is run by the JIT. This has led to a couple of questions: 1. Did I miss something? As far as I can see, the current JIT implementation has a hardcoded list of pre-defined passes, which deal...

Dear All, reposting, because I did not find a solution, maybe someone could check the example below. It's taken from the help page of survdiff. Executing it, gives the error "Error in floor(temp) : Non-numeric argument to mathematical function" best regards, Heinz library(survival) ## Example from help page of survdiff ## Expected survival for heart transplant patients based

.../ae/t1aett.fd) Runaway argument? > prices <- cbind(mydb("macro", "nifty", freq = "w"), mydb("firm.pric\ETC. ! Paragraph ended before \FV at BeginScanning was complete. <to be read again> \par l.60 \end{frame} ? I transplanted the R code from bugdemo.Rnw into an ordinary latex article context, and everything works fine. Hence, I'm sure it's something to do with the integration between Sweave and beamer. Are there some catches that I ought to know about? -- Ajay Shah http://w...