search for: ftimes

Hello, I would like to increase the number of iterations for running a Buckley-James regression model in the rms package, but something is apparently syntactically wrong. The following code initially is exactly as it appears in the help page (which runs successfully), then a "failure to converge" message (resulting from specifying an 'identity' link argument, the error message

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)

Hi, I would like to write a function which has the following syntax: myfn <- function(formula, ftime, fstatus, data) { # step 1: obtain terms in `formula' from dataframe `data' # step 2: obtain ftime from `data' # step 3: obtain fstatus from `data' # step 4: do model estimation # step 5: return results } The user would call this function as: myfn(formula=myform,

Hello everyone, (This is my second question posted today on the R list). I am carrying out a competing risks analysis using the cuminc function...this takes the form: cuminc(ftime,fstatus,group) In my study, fstatus has 3 different causes of failure (1,2,3) there are also censored cases (0). "group" has two levels (0 and 1). I therefore have 6 different cumulative incidence curves:

Hi Xiph.org Team. We are using opusfile library <https://github.com/xiph/opusfile> for streaming *.opus* audio in our projects. But now we have a problem with building opusfile library for android with *ndk-build*. In particular, with arm64-v8a platform: Google removed <sys/timeb.h> from android. And now building opusfile with nkd-build crashes with error "fatal error:

Hi all I do not understand why I am getting the following error message. Can anybody help me with this? Thanks in advance. install.packages("cmprsk") library(cmprsk) result1 <-crr(ftime, fstatus, cov1, failcode=1, cencode=0 ) one.pout1 = predict(result1,cov1,X=cbind(1,one.z1,one.z2)) predict.crr(result1,cov1,X=cbind(1,one.z1,one.z2)) Error: could not find function

On Tue, Jul 16, 2013 at 1:37 PM, Xinliang David Li <xinliangli at gmail.com>wrote: > On Tue, Jul 16, 2013 at 1:33 PM, Chandler Carruth <chandlerc at google.com> > wrote: > > On Tue, Jul 16, 2013 at 1:18 PM, Xinliang David Li <xinliangli at gmail.com > > > > wrote: > >> > >> Ignoring FE time which can be fully parallelized and assuming 10%

...d," simple=",fsim," diff=",fand-fsim,"\n") cat("time the function in expm form\n") tnlogL<-microbenchmark(nlogL(theta), times=100L) tnlogL cat("time the function in simpler form\n") tnegll<-microbenchmark(negll(theta), times=100L) tnegll ftimes<-data.frame(texpm=tnlogL$time, tsimp=tnegll$time) # ftimes boxplot(log(ftimes)) title("Log times in nanoseconds for matrix exponential and simple MIN fn")

Dear R users, I created a matrix that tells me the first day of use of a category by id. #Calculate time difference test$tdiff<-as.numeric(difftime(as.Date("2002-09-01"), test$ftime, units = "days")) # obtain the index date per person and dcategory index.date.test<-tapply(test$tdiff, list(test$id, test$rcat), max) Nonetheless, at the moment I think will be

I am writing a cron script to check if certain extensions are online and if they aren't then Asterisk creates a couple of .call files to notify another set of extensions or external numbers. It works fine except for logging information. What I'm doing in the script is setting a "fake" caller ID (as it's generated by Asterisk, not by a user) and calling out real users. So

A problem has been pointed out by a French user of the survival package and I'm looking for a pointer. > options(OutDec= ",") > fit <- survfit(Surv(1:6 /2) ~ 1) > fit$time [1] NA 1 NA 2 NA 3 A year or two ago some test cases that broke survfit were presented to me. The heart of the problem was numbers that were almost identical, where table(x) and unique(x) gave

Dear all, I am trying to use the crr function in the cmprsk package version 2.2 to analyse 198 observations.I have receive the error in solve.default. Can anyone give me some insights into where the problem is? Thanks here is my script : cov=cbind(x1,x2) z<-crr(ftime,fstatus,cov)) and data file: x1 x2 fstatus ftime 0 .02 1 263 0 .03 1 113 0 .03 1 523

I have a data frame (morgan) of hourly river flow, river levels and wind direction and speed thus: Time hour lev.morgan lev.lock2 lev.lock1 flow direction velocity 1 2009-07-06 15:00:00 15 3.266 3.274 3.240 1710.6 180.282 4.352 2 2009-07-06 16:00:00 16 3.268 3.272 3.240 1441.8 192.338 5.496 3 2009-07-06 17:00:00 17 3.268

Hi All, I am running a scatter plot and trying to add a best fit line. I use an abline function, but get no line drawn over the points. I also get no error. I arm using V 2.10.0 on Windows 7. Here is my code, including the SAS transport file import: require (foreign) require (chron) require (Hmisc) require (lattice) clin <- sasxport.get("y:\\temp\\subset.xpt") attach(clin)

On Tue, Jul 16, 2013 at 1:40 PM, Chandler Carruth <chandlerc at google.com> wrote: > On Tue, Jul 16, 2013 at 1:37 PM, Xinliang David Li <xinliangli at gmail.com> > wrote: >> >> On Tue, Jul 16, 2013 at 1:33 PM, Chandler Carruth <chandlerc at google.com> >> wrote: >> > On Tue, Jul 16, 2013 at 1:18 PM, Xinliang David Li >> > <xinliangli

Full_Name: Ulrike Gr?mping Version: 2.2.1 OS: Windows Submission from: (NULL) (84.190.139.94) A wish somehow related to my wish 8658: Package foreign allows to import categorical data from SPSS (and possibly other software) using the original codes, which are often useful for data manipulation, since one can use already available lists of codes from others who don't use R etc. The original

On Tue, Jul 16, 2013 at 1:33 PM, Chandler Carruth <chandlerc at google.com> wrote: > On Tue, Jul 16, 2013 at 1:18 PM, Xinliang David Li <xinliangli at gmail.com> > wrote: >> >> Ignoring FE time which can be fully parallelized and assuming 10% >> compile time is spent in serial module passes, 25% time is spent in >> CGSCC pass, the maximum speed up that can

I have a file for which clang-7 takes over 2 hours to compile with -O3. For the same file, clang-5 takes less than 2 minutes (which is also high IMHO). I will try to create a test case (but it is pretty simple, it only contains initializations of many arrays of structs where the structs are of the following form: struct Foo { EnumType1 e1; // there are 700+ enum labels std::string s1;

On Tue, Jul 16, 2013 at 1:18 PM, Xinliang David Li <xinliangli at gmail.com>wrote: > Ignoring FE time which can be fully parallelized and assuming 10% > compile time is spent in serial module passes, 25% time is spent in > CGSCC pass, the maximum speed up that can be gained by using function > level parallelism is less than 3x. Even adding support for parallel > compilation

Hi all, I've been using -ftime-trace on the compiler and find it very useful for analysing compile times and whole build times. I've made a first attempt at adding this to LLD (ELF) so link times can be traced in the same way: https://reviews.llvm.org/D69043 This works for LTO and ThinLTO, but needs some more work to make sure it scales well across multiple threads. Please let me know