search for: aa2

...!!!!!! (I expect df$a to be undefind) >df$x >NULL Compare with: > df["aaa"] aaa 1 1 > df["a"] Error in "[.data.frame"(df, "a") : undefined columns selected Here another example that underline how problematic this issue can be: aa1<-1 aa2<-2 df<-as.data.frame(aa1,aa2) > df$aa [1] 1 (only the first matching column is retrieved)

...(stderr, "ASSERT_%s_%s(%s%s%s) failed:\n", name, pred_name(pred), a1, a2 != NULL ? ", " : "", a2 != NULL ? a2 : ""); } void assert_bignum(const char *file, int line, const char *a1, const char *a2, const BIGNUM *aa1, const BIGNUM *aa2, enum test_predicate pred) { int r = BN_cmp(aa1, aa2); TEST_CHECK_INT(r, pred); test_header(file, line, a1, a2, "BIGNUM", pred); fprintf(stderr, "%12s = 0x%s\n", a1, BN_bn2hex(aa1)); fprintf(stderr, "%12s = 0x%s\n", a2, BN_bn2he...

...A simple example is below. strat <- function(x) x d <- expand.grid(a=c('a1','a2'), b=c('b1','b2')) d$y <- c(1,3,2,4) f <- y ~ a * strat(b) m <- model.frame(f, data=d) Terms <- drop.terms(terms(f, data=d), 2) model.matrix(Terms, m) (Intercept) aa2 aa1:strat(b)b2 aa2:strat(b)b2 1 1 0 0 0 2 1 1 0 0 3 1 0 1 0 4 1 1 0 1 . . . The column corresponding to a='a1' b='b2' should not b...

...actor A has 6 levels, B has 2 levels, > levels(dd$A)=c("A1", "A2", "A3", "A4", "A5", "A6") > levels(dd$B)=c("b1", "b2") My question is how to interpret the resultant coefficients. What are the bases of "dd$AA2:dd$Bb2" and "dd$AA3:dd$Bb2", etc. ? I am having a hard time to understand the result and making sense out of the numbers... Please help me ! Thank you! > zz=lm(formula = (dd$Y) ~ dd$A * dd$B) > summary(zz) Call: lm(formula = dd$Y~ dd$A * dd$B) Residuals: Min 1Q...

...e at entry=0x42a188 > "regress/unittests/hostkeys/test_iterate.c", line=line at entry=163, > a1=a1 at entry=0x42a1e0 "sshkey_load_public( > test_data_file(expected[i].key_file), &expected[i].l.key, NULL)", > a2=a2 at entry=0x42d2cf "0", aa1=-24, aa2=aa2 at entry=0, This one is failing a test assetion - there should be some more useful output available from the test itself. -d

...t;C:\\Alice\\MBEI.txt", sep="\t", check.names=FALSE) a<-subset(data1,select=c(V1,V2,V3)) write.table<-(a,file="C:\\Alice\\aa1.txt",quote=FALSE,row.names=FALSE,col.name=FALSE,sep="\t") a<-subset(data1,select=c(V1,V4,V5)) write.table(a,file="C:\\Alice\\aa2.txt",quote=FALSE,row.names=FALSE,col.name=FALSE,sep="\t") or data1<- read.table(file = "C:\\Alice\\MBEI.txt", sep="\t", check.names=FALSE) a<-data.frame(data1[,1],data1[,2],data1[,3] write.table<-(a,file="C:\\Alice\\aa1.txt",quote=FALSE,row.na...

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

...ult2.reset(new ScopDetection(F, DT, SE, LI, RI, AA)); auto &SD2 = getAnalysis<polly::ScopDetectionWrapperPass>().getSD(); auto &SE2 = getAnalysis<ScalarEvolutionWrapperPass>().getSE(); auto &LI2 = getAnalysis<LoopInfoWrapperPass>().getLoopInfo(); auto &AA2 = getAnalysis<AAResultsWrapperPass>().getAAResults(); auto const &DL2 = F.getParent()->getDataLayout(); auto &DT2 = getAnalysis<DominatorTreeWrapperPass>().getDomTree(); auto &AC2 = getAnalysis<AssumptionCacheTracker>().getAssumptionCache(F); Result.reset(n...

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) {

...RI, AA)); > > > > auto &SD2 = getAnalysis<polly::ScopDetectionWrapperPass>().getSD(); > > > > auto &SE2 = getAnalysis<ScalarEvolutionWrapperPass>().getSE(); > auto &LI2 = getAnalysis<LoopInfoWrapperPass>().getLoopInfo(); > auto &AA2 = getAnalysis<AAResultsWrapperPass>().getAAResults(); > auto const &DL2 = F.getParent()->getDataLayout(); > auto &DT2 = getAnalysis<DominatorTreeWrapperPass>().getDomTree(); > auto &AC2 = getAnalysis<AssumptionCacheTracker>().getAssumptionCache(F); &g...

...,4) f <- y ~ a * strat(b) m <- model.frame(f, data=d) Terms <- terms(f, specials='strat', data=d) specials <- attr(Terms, 'specials') temp <- survival:::untangle.specials(Terms, 'strat', 1) Terms <- Terms[- temp$terms] model.matrix(Terms, m) (Intercept) aa2 aa1:strat(b)b2 aa2:strat(b)b2 1 1 0 0 0 2 1 1 0 0 3 1 0 1 0 4 1 1 0 1 . . . The column corresponding to a='a1' b='b2' should not b...

...,4) f <- y ~ a * strat(b) m <- model.frame(f, data=d) Terms <- terms(f, specials='strat', data=d) specials <- attr(Terms, 'specials') temp <- survival:::untangle.specials(Terms, 'strat', 1) Terms <- Terms[- temp$terms] model.matrix(Terms, m) (Intercept) aa2 aa1:strat(b)b2 aa2:strat(b)b2 1 1 0 0 0 2 1 1 0 0 3 1 0 1 0 4 1 1 0 1 . . . The column corresponding to a='a1' b='b2' should not b...

...duce an "X" too! > ################################################################### > > # these have the same dput output but are not identical! > # I would have expected them to be the identical. > ################################################################### > aa2 <- structure(1, class = c("zooreg", "zoo")) > dput(aa2) structure(1, class = c("zooreg", "zoo")) > dput(zz2) structure(1, class = c("zooreg", "zoo")) > identical(aa2, zz2) [1] FALSE > sessionInfo() R version 2.11.1 Patched...

...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 error...

...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???? 1.5?? NA?? 0.9 3??? 1???? 0.1?? 0.2?? 1.5 ...... .. My code is as follows: files <- list.files(pattern="*.raw") for(i in files){ of <- strsplit(i, "\\.")[[1]] of <- paste(head(of, 1)) data <- read.table(file=i,...

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 BB+ 20070423 310000386 Baa3 20070320 Baa3 NA BBB- 20040331 df$20050701: identifier rtgmdy rtgmdy_dt rtgmdy_watch rtgmdy_nowatch rtgmdy_watch_dt rtgsp rtgsp_dt 310000031 Aa2 2...

...Result2.reset(new ScopDetection(F, DT, SE, LI, RI, AA)); auto &SD2 = getAnalysis<polly::ScopDetectionWrapperPass>().getSD(); auto &SE2 = getAnalysis<ScalarEvolutionWrapperPass>().getSE(); auto &LI2 = getAnalysis<LoopInfoWrapperPass>().getLoopInfo(); auto &AA2 = getAnalysis<AAResultsWrapperPass>().getAAResults(); auto const &DL2 = F.getParent()->getDataLayout(); auto &DT2 = getAnalysis<DominatorTreeWrapperPass>().getDomTree(); auto &AC2 = getAnalysis<AssumptionCacheTracker>().getAssumptionCache(F); Result.reset(n...

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)