similar to: Fold function with several time varying covariates

Dear all, I'm trying to use the fold function as described here: http://cran.r-project.org/doc/contrib/Fox-Companion/appendix-cox-regression.pdf Page9 It does say that you can use this when you have more than one time varying covariate: in the description of the argument cov it says: "cov: A vector giving the column numbers of the time-dependent covariate in data, or a list of

There is PostDominatorTree for determining post-dominance. Even if A post-dominates B and B is executed, that doesn't guarantee that A will be executed. For example, there could be an infinite loop in-between. Strong post-dominance makes the stronger guarantee that there will be no infinite loop from B to A. Do we have anything in LLVM for determining strong post-dominance and in general for

Hi, When using lapply (or sapply) to loop over a list, can I somehow access the index of the list from inside the function? A trivial example: df1 <- split( x=rnorm(n=100, sd=seq(from=1, to=10, each=10)), f=letters[seq(from=1, to=10, each=10)] ) str(df1) #List of 10 # $ a: num [1:10] -0.801 0.418 1.451 -0.554 -0.578 ... # $ b: num [1:10] -2.464 0.279 4.099 -2.483 1.921 ... # $ c: num

Dear Prof. Brostr?m, Dear R-mailinglist, first of all thanks a lot for your great effort to incorporate time-varying covariates into aftreg. It works like a charm so far and I'll update you with detailled benchmarks as soon as I have them. I have one more questions regarding Accelerated Failure Time models (with aftreg): You mention that left truncation in combination with time-varying

Hi, I seem to be having trouble getting more than 10 hits from Index#search_each since upgrading to 0.10.2 (ie, this was working in 0.9.4). Maybe a bug, as the #search_each doesn''t seem to use the options parameter any more ? Thanks, Neville =========================================== require ''rubygems'' require ''ferret'' p Ferret::VERSION idx =

Hello, I am trying to model an intensity function with time-varying covariates. Before, I have successfully defined a log likelihood function for a Power-Law Process (lambda(t)=alpha*beta*t^(beta-1)) with two paramters and no covariates for a repairable systems with failure times (t). This function was maximized with R optim. No problem! But now I want to include a covariate indicating a

Hi Adam, Indvar widening can sometimes be harmful for architectures (e.g. NVPTX and AMDGPU) where wider integer operations are more expensive ( https://llvm.org/bugs/show_bug.cgi?id=21148). For this reason, we disabled indvar widening in NVPTX in http://reviews.llvm.org/D6196. Hope it helps. Jingyue On Mon, Jun 29, 2015 at 11:59 AM Adam Nemet <anemet at apple.com> wrote: > > >

Hi Johannes, Sanjoy has given you great information already. On Sun, Apr 10, 2016 at 5:19 PM, Sanjoy Das <sanjoy at playingwithpointers.com> wrote: > Johannes Doerfert wrote: > > Is there any plan to use e.g., post-dominance information to > > propagate wrapping flags? > > None that I'm aware of. > > > If x +nsw y post-dominates the entry block > >

Hello, coxph does not use any information that are in the dataset between event times (or "death times") , since computation only occurs at event times. For instance, removing observations when there is no event at that time in the whole dataset does not change the results: > set.seed(1) > data <- as.data.frame(cbind(start=c(1:5,1:5,1:4),stop=c(2:6,2:6,2:5),status=c(rep(

----- Original Message ----- > From: "Bjarke Roune" <broune at google.com> > To: "Jingyue Wu" <jingyue at google.com> > Cc: llvmdev at cs.uiuc.edu > Sent: Tuesday, June 30, 2015 8:16:13 PM > Subject: Re: [LLVMdev] Deriving undefined behavior from nsw/inbounds/poison for scalar evolution > > Hi Adam, > > Jingyue is right. We need to keep

I'm getting repeated email (KMail) error messages about one apparently over-large post: -------------------------- Received: from helen.gayleard.com (localhost.localdomain [127.0.0.1]) by helen.gayleard.com (Postfix) with ESMTP id E4500294A0 for <tim at helen.gayleard.com>; Sat, 24 Jan 2015 14:00:05 +0000 (GMT) Received: (from tim at localhost) by helen.gayleard.com

I have a data frame with 3 columns and I want to order the entire list by one column and then plot. I used order() and it does order the data set but when I plot it is as if the set is as it was originally. I also can't figure out how to plot two sets of data on the same graph. I have, Occupation American.Workers Foreign.Workers Accountant 12 2 Engineer 45 54 Doctor 50 37 I want

Hello, I'm trying to do bar plot where 'sex' will be the category axis and 'occupation' will represent the bars and the clusters will represent the mean 'income'. sex occupation income 1 female j 12 2 male b 34 3 male j 22 4 female j 54 5 male b 33 6

Hi, I''m building a web server application using Ferret [thanks so much Dave], Mongrel and Camping which works fine servicing one request at a time, but serialises searches if more than one request arrives, so I''d like some advice please about the best way to use multiple readers and one writer. Some background ... query requests which in my case are always read only, arrive via

----- Original Message ----- > From: "Bjarke Roune" <broune at google.com> > To: "Hal Finkel" <hfinkel at anl.gov> > Cc: llvmdev at cs.uiuc.edu, "Jingyue Wu" <jingyue at google.com> > Sent: Wednesday, July 1, 2015 2:27:59 PM > Subject: Re: [LLVMdev] Deriving undefined behavior from nsw/inbounds/poison for scalar evolution > >

*** Summary I'd like to propose (and implement) functionality in LLVM to determine when a poison value from an instruction is guaranteed to produce undefined behavior. I want to use that to improve handling of nsw, inbounds etc. flags in scalar evolution and LSR. I imagine that there would be other uses for it. I'd like feedback on this idea before I proceed with it. *** Details Poison

Hi, I'm new to R, and I'm STATA user before, could you help me where I can get document about comparison command between STATA and R. Thank you very much, Best regards, -iip-

Hi guys, I need some help to analyzing my data. I start to describe my data: I have 21 matrices, every matrix on the rows has users and on columns has items, in my case films. Element of index (i, j) represent the rating expressed by user i about item j. I have a matrix for each of professions. An example of a this type of matrix is: item 1 item 2 item 3 item4 id

I don't understand Windows permissions under Samba. I am running an smb server under CentOS-5.4, and have a Windows XP Pro machine ("harriet") as a client. I have set up shares C and D on harriet corresponding to the 2 drives C: and D: on the machine, and I have asked that files should be shared. Now when I mount harriet:C I can see the top level folders, but cannot see Documents

I don't understand Windows permissions under Samba. I am running an smb server under CentOS-5.4, and have a Windows XP Pro machine ("harriet") as a client. I have set up shares C and D on harriet corresponding to the 2 drives C: and D: on the machine, and I have asked that files should be shared. Now when I mount harriet:C I can see the top level folders, but cannot see Documents