similar to: Column naming mystery

Hi, first I want to thank all of you for the quick aid which is provided here on the list during all times. Thanks a lot for that! Then, I have a problem using summaryBy which most probably is a problem of wrong use by me or the like: I use this command: summaryBy(total+total.inf~gr, aE, FUN=sum) where aE is a > str(aE) 'data.frame': 127880 obs. of 16 variables: $ gr

Folks, I'm running into something which looks like a bug in linearscan allocator. Of course I can't be 100% sure it's not some unobvious mistake on my part, so I'd like to hear your opinion. First, I attach two files -- LLVM asm and the asm for my target. The problem with assembler is: on line 171 it uses register gr2, which is copied from gr6 above, on line 161. The only

On Tue, 22 Jun 2004, Vladimir Prus wrote: > First, I attach two files -- LLVM asm and the asm for my target. The problem > with assembler is: on line 171 it uses register gr2, which is copied from gr6 > above, on line 161. The only predecessor of this basic block is jump on line > 90. The problem is that gr6 is not initialized in the interval from the > function entry till the

Chris Lattner wrote: > On Tue, 22 Jun 2004, Vladimir Prus wrote: > > First, I attach two files -- LLVM asm and the asm for my target. The > > problem with assembler is: on line 171 it uses register gr2, which is > > copied from gr6 above, on line 161. The only predecessor of this basic > > block is jump on line 90. The problem is that gr6 is not initialized in > >

Dear R-bug-people I have encountered a problem with "unsplit", which I believe may be caused by a bug in the function. However, unexpericend with bug-reports I apologise if this is barely a user problem rather than a problem within R. The problem occurs if an object is split by several grouping factors with levels not occuring in the data, and using drop = TRUE. This may appear as

Chris Lattner wrote: > > Thanks, this works! I don't yet understand why spill code is needed there > > at all, but I'll return to that when I have branches working correctly. > > I'm not sure either. Can you send the code before and after register > allocation? Attached. > You might also try -regalloc=linearscan, as the default > allocator is, uhhh,

Dear R-users, I would like to maximize the function g above which depends on 4 parameters (2 vectors, 1 real number, and 1 matrix) using optim() and BFGS method. Here is my code: # fonction to maximize g=function(x) { x1 = x[1:ncol(X)] x2 = x[(ncol(X)+1)] x3 = matrix(x[(ncol(X)+2):(ncol(X)+1+ncol(X)*ncol(Y))],nrow=ncol(X),ncol=ncol(Y)) x4 = x[(ncol(X)+1+ncol(X)*ncol(Y)+1):length(x)]

Hi, I have configured an Asterisk server with TDM01P (1FXO) for testing purpose. The interface I'm using is AMP. I want to configure my extension so that when I dial from my mobile phone to the asterisk line, I want it to transfer the call to any extension, say 3042 and after a particular number of rings, transfer the call to voice mail so that I can record my message. My Zaptel.conf is as

Dear list, I have problems involving passing a "subset=" argument through "...". I'm trying to augment the set of defined analyses for mice (homonymous package) with a call to lme. This package create multiple imputations of missing data in a "mids" object, each completed data set may be obtained through the complete(data, set) function. > sessionInfo() R

Hi, looking at the fresh CVS state I see: class Register<string n> : RegisterBase<n> { list<RegisterBase> Aliases = []; } while previously the Register class did not require any parameters. The change log is just: * Target.td: Revamp the Register class, and allow the use of the RegisterGroup class to specify aliases directly in register definitions. and I

When I create a lattice/Trellis type graph, I typically write a function that returns the graph, as in do.graph <- function(x, y, ...) { require(lattice) return(xyplot(y~x, ...)) } My question today is this: If I want two graphs on one page, one way of achieving it is to print the objects into defined areas, as in gr1 <- xyplot(rnorm(111) ~ runif(111)) gr2 <-

On Tue, 16 Nov 2004, Vladimir Prus wrote: > and I could not find any discussions in the archives. > > Why the change was necessary? Writing: > > def gr0 : Register<"gr0">; > def gr1 : Register<"gr1">; > def gr2 : Register<"gr2">; > def gr3 : Register<"gr3">; > def gr4 :

http://bugzilla.mindrot.org/show_bug.cgi?id=938 Summary: "AllowGroups" option and secondary user's groups limit Product: Portable OpenSSH Version: 3.9p1 Platform: ix86 OS/Version: Linux Status: NEW Severity: major Priority: P2 Component: PAM support AssignedTo: openssh-bugs at

Hi, I am learning R by reading R source code. Here is one question I have about the optim function in R. The context : In the optim.R, after all the prep steps, the main function call call is made via : .External2(C_optim, par, fn1, gr1, method, con, lower, upper). So, it seems to me, to follow what is going on from here, that I should read the optim function in \src\library\stats\src\optim.c

Hello, As I am quitte an ignorant user of R, excuse me for any wrongfull usage of all the terms. My question relates to the statistics behind the survdiff function in the package survival. My textbook knowledge of the logrank test tells me that if I want to compare two survival curves, I have to take the sum of the factors: (O-E)^2/E of both groups, which will give me the Chisq. If I calculate

Dear expeRts, Why does na.blank=TRUE not replace the NA's in the following LaTeX table? x <- matrix(1:72, ncol=4, nrow=8) colnames(x) <- c("gr1.sgr1", "gr1.sgr2", "gr2.sgr1", "gr2.sgr2") rn <- apply(expand.grid(beta=c(0.25, 0.75), n=c(100, 500), d=c(10, 100))[, 3:1], 2, rmNames) x <- cbind(rn, x) # append columns containing the row labels

On Wed, 23 Jun 2004, Vladimir Prus wrote: > Hmm.. this is what I have in td file already: > > let isTerminator = 1 in > def GOTO : Unknown<"goto">; > def IFEQ : Unknown<"if =0 goto">; > def IFNEQ : Unknown<"if <>0 goto">; > ..... > > Should this work? Nope, but try this: let isTerminator = 1 in {

While adding support for branch instructions in my backend, I run into a trouble. The code to handle branches looks like: void visitBranchInst(BranchInst& BI) { BB->addSuccessor (MBBMap[BI.getSuccessor(0)]); if (BI.isConditional()) BB->addSuccessor (MBBMap[BI.getSuccessor(1)]); ........... BuildMI(BB,

Hi R-Help, I am using R to do functional outlier detection (using PCA to reduce to 2 dimensions - the functional boxplot methodology used in the Rainbow package), and using Hscv.diag function to calculate the bandwidth matrix where this line of code is run: result <- optim(diag(Hstart), scv.mat.temp, method = "Nelder-Mead", control = list(trace = as.numeric(verbose))) Within the

Hi, could anyone explain to me what this warning message exactly means and what the consequences are? Is it due to the fact that there are very extreme observations / outliers included or what is the reason for it? Thanks so much, Werner Machen Sie Yahoo! zu Ihrer Startseite. Los geht's: