similar to: symbol size on a plot

Dear R experts, I am trying to arrange multiple plots, creating one graph for each size1 factor variable in my data frame, and each plot has the median price on the y-axis and the size2 on the x-axis grouped by clarity: library(ggplot2) df <- data.frame(price=matrix(sample(1:1000, 100, replace = TRUE), ncol = 1)) df$size1 = 1:nrow(df) df$size1 = cut(df$size1, breaks=11)

--- include/share/alloc.h | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/include/share/alloc.h b/include/share/alloc.h index 914de9ba..63878db0 100644 --- a/include/share/alloc.h +++ b/include/share/alloc.h @@ -168,7 +168,7 @@ static inline void *safe_realloc_add_2op_(void *ptr, size_t size1, size_t size2) free(ptr); return 0; } - return realloc(ptr, size2); + return

John and Ron, I developed the original compact unwind implementation for macOS 10.6 back in 2009. I tried to leave space in the design to support finer grain exception handling such as for asynchronous or for the shrink wrap optimization. The idea I had at the time was instead of having just one 32-bit compact unwind info per function, there could be an array of them each covering a different

Hello, I'm using the eclat function of the arules package (1.0-6) for the identification of frequent itemsets. I need the tidLists, but if I set in the function tidLists=TRUE R crashes (Windows XP Professional SP3, 32 bit, R version 2.12.1 (2010-12-16), reproducible on two different computers) with two different error messages or non at all. Minimum examples are: library(arules)

Hi Nick, It is a pleasure to be in contact with the creator of the compact unwind approach! I can see how an array of 32-bit unwind blocks could be used to describe each distinct point within a function (within a prolog in particular). But then you end up with six or seven or more such blocks for a large percentage of functions, don't you? Seems like a lot of additional space for something

Here is our proposal to extend/enhance the x86-64 compact unwind descriptors to fully describe the prologue/epilogue for asynchronous unwinding.  I believe there are missing/lacking CFI directives as well, but I'll save that for another thread. Asynchronous Compact Unwind Descriptors Ron Brender, VMS Software, Inc. Revised January 25, 2018 1  Introduction This document proposes means to

Dear R-er, For a non-linear optimisation, I used optim() with BFGS method but it stopped regularly before to reach a true mimimum. It was not a problem with limit of iterations, just a local minimum. I was able sometimes to reach better minimum using several rounds of optim(). Then I moved to optimx() to do the different optim rounds automatically using "Nelder-Mead" and

fb_do_apertures_overlap is returning wrong value when one aperture is completely whithin the other. Add generic ranges_overlap macro (probably kernel.h candidate) and use it here. Signed-off-by: Marcin Slusarz <marcin.slusarz at gmail.com> Cc: Dave Airlie <airlied at redhat.com> Cc: Peter Jones <pjones at redhat.com> Cc: Andrew Morton <akpm at linux-foundation.org> ---

i'm using the following c++ code using namespace std; #include <iostream> #include <stdio.h> #include <opencv/cv.h> #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv/highgui.h> #include <opencv/cv.h> #include <R.h> #include <Rinternals.h> #include <Rmath.h> extern "C" { SEXP

Hello, I had some difficulties compiling the current git ( http://git.xiph.org/?p=flac.git;a=commit;h=a7e3705d051bafd1cae90f6605287cc1d9f2a18d ) using the Ubuntu 12.04 supplied MinGW32 cross compiler: I configured the FLAC build with --host=i586-mingw32msvc --target=i586-mingw32msvc --build=i586-linux but ran into several linker problems. Are these options somehow wrong? It worked fine when

I'm looking at an issue reported by the Coverity static analyzer. In iconvert() in src/share/utf8/iconvert.c on line 152 there is newbuf = safe_realloc_add_2op_(utfbuf, ...); If the request size is not valid, the function will free utfbuf and return 0. This is followed by goto fail and utfbuf is freed for the second time. A simply fix would be to set utfbuf to 0 if newbuf is 0. However, this

Hi John & Ron, I read through the proposal and had a couple of quick observations. 1. The proposed encoding assumes that the epilogue instructions always come at the end of the function -- or rather, just before the next function. If there is a stack protector __stack_chk_fail sequence, or there is NOP padding between functions, then the epilogue cannot be expressed. The proposed encoding

Hello, I've been struggling with a problem for the past several weeks, trying to get PL/R (R procedural language handler for PostgreSQL, http://www.joeconway.com/plr/) to work on Red Hat 9. In brief, R dumps core during the embedded library initialization, while in Rf_regcomp(), working on on Rprofile. Below I've included the important parts of a backtrace: Program received signal

Hi there, I have a rather large data set and perform the following cox model: test1 <- list(tstart,tstop,death1,chemo1,radio1,horm1) out1<-coxph( Surv(tstart,tstop, death1) ~ chemo1+chemo1:log(tstop+1)+horm1+horm1:log(tstop+1)+age1+grade1+grade1:log(tstop+1)+positive1+positive1:log(tstop+1)+size1+size1:log(tstop+1), test1) out1 Up to here everything works fine (with each covariate

Hi to all members, i have a question about class inheritance and methods using R.oo package: I have the following code and it doesn't work, guess i'm doing smth wrong and there is nothing in the help. library(R.oo) setConstructorS3("ClassA", function(A=15) { extend(Object(), "ClassA", .size = A ); }) setMethodS3("print", "ClassA",

Hello, I did a little experiment modifying LLVM to be able to use alias-analysis information in scheduling so that independent memory operations may be reordered. Attached is a patch which implements this. I copied some routines from DAGCombiner.cpp for using SDOperands with alias queries; it should probably be factored out somewhere so the code can be shared. I reorganized

Hi, I'm wrestling with an analysis of a dataset, which I previously analyzed in SYSTAT, but am now converting to R and was doing a re-analysis. I noticed, however, that the same model yields different results (different sums of squares) from the two programs. I first thought this might be because the two programs use different calculations to get the sums of squares, but the problem

Something must be wrong, more probable on my side. So the C source code is unchanged, I just did another experiment to first extract all the GEPs in the code, and call AliasAnalysis::alias on each pair of GEPs. Here is the code: AliasAnalysis &AA = getAnalysis<AliasAnalysis>(); TargetData &TD = getAnalysis<TargetData>(); for (Module::iterator it = M.begin();

Just want to test out the LLVM's AliasAnalysis::getModRefInfo API. The input C code is very simple: void foo(int *a, int *b) { for(int i=0; i<10; i++) b[i] = a[i]*a[i]; } int main() { int a[10]; int b[10]; for(int i=0; i<10; i++) a[i] = i; foo(a,b); return 0; } Obviously, for "foo", it only reads from array "a" and only writes to array

Adds H.264 and MPEG2 codec support via VP2, using firmware from the blob. Acceleration is supported at the bitstream level for H.264 and IDCT level for MPEG2. Known issues: - H.264 interlaced doesn't render properly - H.264 shows very occasional artifacts on a small fraction of videos - MPEG2 + VDPAU shows frequent but small artifacts, which aren't there when using XvMC on the same