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Full_Name: Marc Mamin Version: 1.8, 2.0.0 OS: Windows & Linux Submission from: (NULL) (217.17.202.254) Using only the beginning of a column name will match it: >aaa<-1 >df<-as.data.frame(aaa) >names(df) [1] "aaa" >df$a [1] 1 !!!!!!!!! (I expect df$a to be undefind) >df$x >NULL Compare with: > df["aaa"] aaa 1 1 > df["a"]

Script started on Tue Mar 3 07:35:34 2015 doctor.nl2k.ab.ca//usr/source/openssh-SNAP-20150304$ make tests [ -d `pwd`/regress ] || mkdir -p `pwd`/regress [ -d `pwd`/regress/unittests ] || mkdir -p `pwd`/regress/unittests [ -d `pwd`/regress/unittests/test_helper ] || mkdir -p `pwd`/regress/unittests/test_helper [ -d `pwd`/regress/unittests/sshbuf ] || mkdir -p `pwd`/regress/unittests/sshbuf [ -d

Terry Therneau has been very helpful on r-help but we can't figure out what change in R in the past months made extra columns appear in model.matrix when the terms object is subsetted to remove stratification factors in a Cox model. Terry has changed his logic in the survival package to avoid this issue but he requires generating a larger design matrix then dropping columns. A simple

Hi all, I am using "lm" to fit some anova factor models with interactions. The default setting for my unordered factors is "treatment". I understand the resultant "lm" coefficients for one factors, but when it comes to the interaction term, I got confused. > options()$contrasts unordered ordered "contr.treatment"

On Wed, 17 Feb 2016, Hisashi T Fujinaka wrote: > And in another "oh duh" moment, I think this dumped core on two different > machines and I sent you the bt from the wrong machine. Here's the one > from NetBSD-7. > > #0 0x00007f7ff630e55a in _lwp_kill () from /usr/lib/libc.so.12 > (gdb) bt > #0 0x00007f7ff630e55a in _lwp_kill () from /usr/lib/libc.so.12 >

Hi, I tried to split a big file into some small files seperately by R. I can only do that writing duplicated codes. When I tried to write a loop, I only got one appned or destroyed exported file. For example: data1<- read.table(file = "C:\\Alice\\MBEI.txt", sep="\t", check.names=FALSE) a<-subset(data1,select=c(V1,V2,V3))

On Tue, 16 Feb 2016, Hisashi T Fujinaka wrote: > On Wed, 17 Feb 2016, Damien Miller wrote: > > > > Core was generated by `test_sshkey'. > > > Program terminated with signal SIGSEGV, Segmentation fault. > > > #0 0x000000000041273e in cert_parse (key=0x7f7ff7b120c0, > > > certbuf=0x7f7ff7b16200, b=0x7f7ff7b161b0) at sshkey.c:1896 > > > 1896

I have modified the code as follows; now i am using both scopdetection and scopinformation before dependency check but i think link is missing... virtual bool runOnFunction(Function &F) { std::unique_ptr<ScopInfo> Result; std::unique_ptr<ScopDetection> Result2; //polly::ScopDetection pl; auto &LI = getAnalysis<LoopInfoWrapperPass>().getLoopInfo(); auto

Hello, I need to analyze dependencies in my llvm ir by using polly. i created a new pass called mypass there i added polly dependency analysis pass but when i execute this pass in gdb i get no data. Why is that so? My code is follows; namespace { struct mypass : public FunctionPass { static char ID; mypass() : FunctionPass(ID) { } virtual bool runOnFunction(Function &F) {

HI Hameeza, what do mean by link is still missing? Currently it is not possible to use polyhedral information from within in-tree LLVM passes. This is because Polly is not currently part of the LLVM tree, and is only linked into the tools as an external project. I.e., you can't depend on Polly passes in an in-tree pass. What you can do, though, is use Polly from an out-of-tree context. If

Terry - your example didn't demonstrate the problem because the variable that interacted with strata (zed) was not a factor variable. But I had stated the problem incorrectly. It's not that there are too many strata terms; there are too many non-strata terms when the variable interacting with the stratification factor is a factor variable. Here is a simple example, where I have

Terry - your example didn't demonstrate the problem because the variable that interacted with strata (zed) was not a factor variable. But I had stated the problem incorrectly. It's not that there are too many strata terms; there are too many non-strata terms when the variable interacting with the stratification factor is a factor variable. Here is a simple example, where I have

I have *** attached *** an RData file containing an R object that is acting strangely. Try this in a fresh workspace. Do not load zoo or any other package. We load the object, zz2, from the attached RData file. It is just the number 1 with the class c("zooreg", "zoo"). Now create an S3 print routine that simply prints an X when given an object of class "zoo". If

...mpiled from git commit: commit 7854c8b667654502f69e05584729146a06827bc6 btrfs fi show: Label: none uuid: ccedbef9-417b-454c-b1d4-8b4220111e6a Total devices 1 FS bytes used 177.79GB devid 1 size 210.85GB used 210.85GB path /dev/dm-0 Label: ''BACKUP'' uuid: 019e75e4-aa2e-495d-9711-28ef7150b1f3 Total devices 2 FS bytes used 137.35GB devid 2 size 298.09GB used 142.01GB path /dev/sdc1 devid 1 size 298.09GB used 142.03GB path /dev/sdb1 The send fs is on a dm-crypt device and the receive on a btrfs raid1 A scrub for both fs ran fine without errors...

Hi All, I have a whole lot of *.raw files in my working folder and I am doing the same analysis on each of those and want to save all the results in a single file. I am making some mistake here and can't figure out how to solve it. Say, the *.raw files are ABCD.raw, EFGH.raw, IJKL.raw ... The files are of this format ID PHI?? aa1? aa2? aa3 .... 1??? 1???? 1.3?? 2.0?? 1.0 2??? 0????

R-experts, I have a bunch of files (by date) that I can read into dataframes as below. df$today: identifier rtgmdy rtgmdy_dt rtgmdy_watch rtgmdy_nowatch rtgmdy_watch_dt rtgsp rtgsp_dt 310000031 Aa3 20050701 Aa3 NA AA- 20050510 310000086 B1 20070920 B1 NA B+ 20070828 310000106 Baa2 20040326 Baa2 NA BBB 20051003 310000170 Baa3 20070601 Baa3 NA BBB+ 20051024 310000225 Ba2 20070601 Ba2 NA

Thank You. Actually i pass polly canonaclize IR to my new created polly pass called "mypass". Mypass should first detect scops then find depedndencies as the mechanism conventional approach. Now i know how to write llvm pass here i am writing pass as loadable module first afterwards i will integrate it with opt in the end. I tried writing following code. Could you please help me on

How do you compile the code? Within the Polly subdirectory using CMake? How do you run your pass. Using "opt -mypass inputfile.ll"? Michael 2018-01-28 9:30 GMT-06:00 hameeza ahmed via llvm-dev <llvm-dev at lists.llvm.org>: > Hello, > > I need to analyze dependencies in my llvm ir by using polly. i created a new > pass called mypass there i added polly dependency

Hi, Im running a Dell 6450 w/ 4GB of memory, 2 2GB Swap Partitions. Redhat 7.3 kernel 2.4.18 (kernel.org). It runs our images for our site. We use rsync to sync images from a main image box. It runs fine for maybe 4 days untill all memory is in cache, and like 7MB of physical memory is free. The box will hardly do anything, and cache will just keep going up and up untill no more memory is free.

I am trying to make a box plot and overlay it with a scatter plot from another data.frame. I was able to successfully create the boxplot, but when i tried using points(x~y...) the dots did not show up. example code aa<-(300,300,300,300,600,600,600,600,900,900,900,900) bb<-(13,12,14,11,56,44,34,75,22.,34,22,98,59,55,56) cc<-(13,12,14,11,56,44,34,75,22.,34,22,98,59,55,56)