search for: convs

I have a function for plotting soil texture that I am having a problem with. The function is: plot.psd <- function(sand, clay, ...) { conv.ter <- function(x, y) { x.con <- 100 - x - y*cos(1/3*pi) y.con <- y*sin(1/3*pi) data.frame(x=x.con, y=y.con) } plot(conv.ter(sand, clay), xlim = c(0,100), ylim = c(0,100*sin(1/3*pi)), axes = FALSE, xlab="",

Hi everyone! I'm trying to lear how to call external C code in R but even the R help web-page example is drive me crazy. I copy-paste the example at: http://stat.ethz.ch/R-manual/R-patched/doc/manual/R-exts.html#Interface%20functions%20.C%20and%20.Fortran here is the example: void convolve(double *a, int *na, double *b, int *nb, double *ab) { int i, j, nab = *na + *nb - 1; for(i = 0;

libswfdec/swfdec_bits.c | 40 ++++++++++++++-------------------------- 1 files changed, 14 insertions(+), 26 deletions(-) New commits: diff-tree 0890f620c6b0a312176525a5f0977ed95b5314fe (from df8e44d9c530cc042e791cde0786cbea30afa373) Author: Benjamin Otte <otte at gnome.org> Date: Wed Jul 11 16:41:01 2007 +0200 don't access memory unaligned (fixes #11492) Hopefully

libswfdec/swfdec_bits.c | 40 ++++++++++++++-------------------------- 1 files changed, 14 insertions(+), 26 deletions(-) New commits: diff-tree dfcd46a62e9f98d291d4fe80187a1bed1b7a7212 (from parents) Merge: 4284f9fa4bd2608ca0abca3fad88dd13e8e5370c 0890f620c6b0a312176525a5f0977ed95b5314fe Author: Benjamin Otte <otte at gnome.org> Date: Wed Jul 11 16:41:51 2007 +0200 Merge branch

Long story short, my cat jumped on my server at my house crashing two drives at the same time. It was a 7 drive raidz (next time ill do raidz2). The server crashed complaining about a drive failure, so i rebooted into single user mode not realizing that two drives failed. I put in a new 500g replacement and had zfs start a replace operation which failed at about 2% because there was two broken

Dear sir\madam! I'm trying to speed up my R code by writing quite simple dll's in C. But I faced some problems, and I cannot determine their source. #include <Rinternals.h> SEXP mycombin(SEXP N, SEXP k){ int i, *j, *l, c; j = INTEGER(k);l = INTEGER(N); c = 1; if(j[0] > 0 && j[0] < l[0]){ if(j[0] <= l[0] - j[0]){ for(i =

Dear sir\madam! I'm trying to speed up my R code by writing quite simple dll's in C. But I faced some problems, and I cannot determine their source. #include <Rinternals.h> SEXP mycombin(SEXP N, SEXP k){ int i, *j, *l, c; j = INTEGER(k);l = INTEGER(N); c = 1; if(j[0] > 0 && j[0] < l[0]){ if(j[0] <= l[0] - j[0]){

Hi, We recently found a testcase showing that simplifications in instcombine sometimes change the instruction without reducing the instruction cost, but causing problems in TwoAddressInstruction pass. And it looks like the problem is generic and other simplification may have the same issue. I want to get some ideas about what is the best way to fix such kind of problem. The testcase:

From: Jean-Christian de Rivaz <jc at eclis.ch> I suspect that some instructions about how to use the diag/mbr was not updated when the source file was renamed to handoff.S. Here is a simple proposition to fix that. Jean-Christian de Rivaz --- diag/mbr/README | 4 ++-- diag/mbr/handoff.S | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/diag/mbr/README

Folding for conversions: F32/64->(U16/32, S16/32) and (U16/32, S16/32)->F32 No piglit regressions observed on nv50 and nvc0! Signed-off-by: Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> --- V2: fix usage of wrong variable V3: enable F64 support V4: - disable F64 support again - handle saturate flag: clamp to min/max if needed

Hello, everybody, I met a big problem. What I want is to use c code in R. I have load a test code "conv.c" in R and run it successfully. However, in my real code, I use matlab c library (Matrix Inverse function). After I use command "R CMD SHLIB" to share library, I can not use "dyn.load" to load the object in R. "undefined symbol:

On Wed, Aug 2, 2017 at 3:36 PM, Matthias Braun <mbraun at apple.com> wrote: > So to write this in a more condensed form, you have: > > %v0 = ... > %v1 = and %v0, 255 > %v2 = and %v1, 31 > use %v1 > use %v2 > > and transform this to > %v0 = ... > %v1 = and %v0, 255 > %v2 = and %v0, 31 > ... > > This is a classical problem with instruction

Hello, I'm trying to change the default behavior for how structures are passed to functions to use pass-by-value. Currently LLVM's default behavior is to pass structures by reference. I'm not disputing the benefits of this but I really want to change the default behavior for experimentation purposes. To this end I've changed the code in DefaultABIInfo::classifyArgumentType() to

Consider the following C code: typedef __attribute__(( ext_vector_type(2) )) float float2; typedef __attribute__(( ext_vector_type(2) )) __attribute__(( aligned(4) )) float float2_align2; void foo(void) { const float * p; size_t offset; float2 tmp = *((float2_align2 *)(p+offset)); } When compiled with clang ‹emit-llvm I get: define void @foo() { entry: %p = alloca float*, align 4

Using the acts_as_paranoid plugin with rails 1.1.4 (model also uses acts_as_threaded and acts_as_taggable) and getting some unexplainable behavior. The following tests: assert_equal Conv.count, num assert_equal Conv.count_with_deleted, CONVS_TOTAL Produce the following SQL: SQL (0.000000) SELECT count(*) AS count_all FROM convs WHERE (( convs.deleted_at IS NULL OR convs.deleted_at > ''2006-07-09 19:46:18'' ) AND ( convs.deleted_at IS NULL OR convs.deleted_at > ''2006-07-09 19:46:18'' ))...

A majority of my data makes a kriged map perfectly using an exponential model for the semivariogram to fit my data and then going through the commands variofit() to define the model and then krige.conv() to use the model to predict values in a grid. But?one set of my data appears to be linearly correlated for the first 5000 meters and not correlated beyond that. I have been having problems

I'm trying to develop a stacked bar plot in R with ggplot2. My data: conv = c(10, 4.76, 17.14, 25, 26.47, 37.5, 20.83, 25.53, 32.5, 16.7, 27.33) click = c(20, 42, 35, 28, 34, 48, 48, 47, 40, 30, 30) date = c("July 7", "July 8", "July 9", "July 10", "July 11", "July 12", "July 13", "July 14", "July 15",

Hi All, I'm trying to split my dataset, into multiple datasets that i'll analyse later, i wanted to do this dynamically as i might need to rerun the code later. I was looking at doing this via a loop, (Are other methods more appropriate? Would a function be better?) However i'm not sure in R how do do string replacement within the loop in order to create unique dataset names based on

Hey there, I'm trying to convert some call recordings from asterisk we have in .gsm format to something I can pipe through ffmpeg - wav would be good, mp3 would be amazing! I've been trying playing with sox but I don't seem to be getting too far with 1239101491.30.gsm -ql -r 64000 -t wav 1239101491.30.conv.wav resample as ffmpeg borks at it: tim at freee-meee:~/dmc/call

Hi, Can you please help me with this please? What I am trying to do is call a vector from R function and used in the new function So I create 4 functions with these arguments M11 <- function(TrainData,TestData,mdat,nsam) { ls <- list() I have few statments one of them is vectx <- c(,1,2,3,4,5,6,6) vectz <- c(12,34,5,6,78,9,90) and then................ ls(vectx=vtecx,vectz=vectz)