Displaying 20 results from an estimated 36 matches for "0.0027".
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0.0025
2012 Jan 13
1
apply transformation
Hello All,
I have the following dataset:
Year 2006 2007
Jan Jan 0.0204 0.0065
Feb Feb 0.0145 0.0082
Mar Mar 0.0027 0.0122
> dput(d_tmp)
structure(list(Year = c("Jan", "Feb", "Mar"), `2006` = c(0.0204,
0.0145, 0.0027), `2007` = c(0.0065, 0.0082, 0.0122)), .Names =
c("Year",
"2006", "2007"), row.names = c("Jan",
2020 Aug 17
2
qemu -display sdl,gl=on also eats CPU
I was testing Ilia's patches for ddx, and while they definitely helped for Xorg itself,
qemu still eats a lot of CPU if launched like this
qemu-system-x86_64 -cdrom ~/Downloads/ISO/slax-English-US-7.0.8-x86_64.iso -m 1G -display sdl,gl=on -enable-kvm
and left for few hours.
top - 07:38:01 up 18:05, 2 users, load average: 2,00, 1,89, 1,83
Tasks: 224 total, 3 running, 221 sleeping, 0
2020 Aug 17
0
qemu -display sdl,gl=on also eats CPU
The DDX eating CPU isn't intrinsically bad. Did you check where perf
says the CPU time is going? Could be doing copies/etc.
On Mon, Aug 17, 2020 at 12:52 AM Andrew Randrianasulu
<randrianasulu at gmail.com> wrote:
>
> I was testing Ilia's patches for ddx, and while they definitely helped for Xorg itself,
> qemu still eats a lot of CPU if launched like this
>
>
2008 Feb 03
0
[LLVMdev] 2.2 Prerelease available for testing
Target: FreeBSD 6.2-STABLE on i386
autoconf says:
configure:2122: checking build system type
configure:2140: result: i386-unknown-freebsd6.2
[...]
configure:2721: gcc -v >&5
Using built-in specs.
Configured with: FreeBSD/i386 system compiler
Thread model: posix
gcc version 3.4.6 [FreeBSD] 20060305
[...]
objdir != srcdir, for both llvm and gcc.
Release build.
llvm-gcc 4.2 from source.
2020 Aug 17
0
qemu -display sdl,gl=on also eats CPU
I rebuild mesa with debug symbols, and now top functions using CPU looks like this:
CPU: AMD64 family15h, speed 3800 MHz (estimated)
Counted CPU_CLK_UNHALTED events (CPU Clocks not Halted) with a unit mask of 0x00 (No unit mask) count 100000
samples % image name symbol name
-------------------------------------------------------------------------------
222978 45.1489
2017 Dec 20
2
outlining (highlighting) pixels in ggplot2
Using the small reproducible example below, I'd like to know if one can
somehow use the matrix "sig" (defined below) to add a black outline (with
lwd=2) to all pixels with a corresponding value of 1 in the matrix 'sig'?
So for example, in the ggplot2 plot below, the pixel located at [1,3] would
be outlined by a black square since the value at sig[1,3] == 1. This is my
first
2003 May 07
1
[R ] Query : problems with the arithmetic operator "^" with function "lme" and "lmList"
Dear all,
I've got a problem in including square variables in lme and lmlist
functions. I've tried to work on Oxboys data of Pinheiro and
Bates'book, which consist of the heights of 26 boys, each mesured on
nine different occasions :
> Oxboys
Grouped Data: height ~ age | Subject
Subject age height Occasion
1 1 -1.0000 140.50 1
2 1 -0.7479 143.40
2008 Jan 24
6
[LLVMdev] 2.2 Prerelease available for testing
LLVMers,
The 2.2 prerelease is now available for testing:
http://llvm.org/prereleases/2.2/
If anyone can help test this release, I ask that you do the following:
1) Build llvm and llvm-gcc (or use a binary). You may build release
(default) or debug. You may pick llvm-gcc-4.0, llvm-gcc-4.2, or both.
2) Run 'make check'.
3) In llvm-test, run 'make TEST=nightly report'.
4) When
2017 Dec 20
0
outlining (highlighting) pixels in ggplot2
Hi Eric,
you can use an annotate-layer, eg
ind<-which(sig>0,arr.ind = T)
ggplot(m1.melted, aes(x = Month, y = Site, fill = Concentration), autoscale
= FALSE, zmin = -1 * zmax1, zmax = zmax1) +
geom_tile() +
coord_equal() +
scale_fill_gradient2(low = "darkred",
mid = "white",
high = "darkblue",
2013 Nov 12
3
VoIP sound quality : highroad sound
Hello,
what could be causing the issue of poor sound quality ? Some calls,
certainly not all of them, sound like if the caller is standing next to
a very busy road with lots of cars passing.
To be clear : the person calling is not standing next to a highway.
But there seems to be a noise "on the line" of busy highroad that makes
that the caller can not be understood.
What can be
2011 Jul 24
2
[LLVMdev] [llvm-testresults] bwilson__llvm-gcc_PROD__i386 nightly tester results
A big compile time regression. Any ideas?
Ciao, Duncan.
On 22/07/11 19:13, llvm-testresults at cs.uiuc.edu wrote:
>
> bwilson__llvm-gcc_PROD__i386 nightly tester results
>
> URL http://llvm.org/perf/db_default/simple/nts/253/
> Nickname bwilson__llvm-gcc_PROD__i386:4
> Name curlew.apple.com
>
> Run ID Order Start Time End Time
> Current 253 0 2011-07-22 16:22:04
2003 May 07
1
[R ] Query : problems with the arithmetic operator "^" wi th function "lme" and "lmList"
Dear Martin,
Have you try to create a new variable for age squared, say agesq? If you fit
the model using this new variable you should get the coefficients. So your
new model is something like height~age+agesq
I hope this helps,
Saghir
> -----Original Message-----
> From: MARTIN Ludovic [SMTP:martinl@mathinfo.ens.univ-reims.fr]
> Sent: Wednesday, 07 May, 2003 2:02 PM
> To:
2007 Sep 18
0
[LLVMdev] 2.1 Pre-Release Available (testers needed)
On Fri, Sep 14, 2007 at 11:42:18PM -0700, Tanya Lattner wrote:
> The 2.1 pre-release (version 1) is available for testing:
> http://llvm.org/prereleases/2.1/version1/
>
> [...]
>
> 2) Download llvm-2.1, llvm-test-2.1, and the llvm-gcc4.0 source.
> Compile everything. Run "make check" and the full llvm-test suite
> (make TEST=nightly report).
>
> Send
2012 Nov 07
3
HELP! Excel and R give me totally different regression results using the exact same data
Hallo,
I am totally confused why Excel and R give me totally different regression
results for the data below. If you know the solution, please enlighten me.
In Excel I used LINEST() and Data>Data Analysis>Regression and both
(fortunately) gave the same result.
The coefficients were:
/b0=1.16, b1=0.957, b2=0.024, R2=0.0027, adjusted R2=-0.017/
In R I used
2006 Nov 10
3
Confidence interval for relative risk
The concrete problem is that I am refereeing
a paper where a confidence interval is
presented for the risk ratio and I do not find
it credible. I show below my attempts to
do this in R. The example is slightly changed
from the authors'.
I can obtain a confidence interval for
the odds ratio from fisher.test of
course
=== fisher.test example ===
> outcome <- matrix(c(500, 0, 500, 8),
2011 Jul 24
0
[LLVMdev] [llvm-testresults] bwilson__llvm-gcc_PROD__i386 nightly tester results
On Jul 24, 2011, at 3:02 AM, Duncan Sands wrote:
> A big compile time regression. Any ideas?
>
> Ciao, Duncan.
False alarm. For some reason that I have not yet been able to figure out, these tests run significantly more slowly when I run them during the daytime, which I did for that run. I checked a few of the worst regressions reported here and they all recovered in subsequent
2015 Feb 26
5
[LLVMdev] [RFC] AArch64: Should we disable GlobalMerge?
Hi all,
I've started looking at the GlobalMerge pass, enabled by default on
ARM and AArch64. I think we should reconsider that, at least for
AArch64.
As is, the pass just merges all globals together, in groups of 4KB
(AArch64, 128B on ARM).
At the time it was enabled, the general thinking was "it's almost
free, it doesn't affect performance much, we might as well use it".
2008 Jun 19
1
PrettyR (describe)
#is there a way to get NA in the table of descriptive statistics instead of
the function stopping Thank you in advance
#data
x.f <- structure(list(Site = structure(c(9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L), .Label = c("BC", "HC", "RM119", "RM148", "RM179",
"RM185",
2009 Feb 08
0
Initial values of the parameters of a garch-Model
Dear all,
I'm using R 2.8.1 under Windows Vista on a dual core 2,4 GhZ with 4 GB
of RAM.
I'm trying to reproduce a result out of "Analysis of Financial Time
Series" by Ruey Tsay.
In R I'm using the fGarch library.
After fitting a ar(3)-garch(1,1)-model
> model<-garchFit(~arma(3,0)+garch(1,1), analyse)
I'm saving the results via
> result<-model
2013 Sep 13
2
[LLVMdev] [Polly] Compile-time and Execution-time analysis for the SCEV canonicalization
At 2013-09-09 13:07:07,"Tobias Grosser" <tobias at grosser.es> wrote:
>On 09/09/2013 05:18 AM, Star Tan wrote:
>>
>> At 2013-09-09 05:52:35,"Tobias Grosser" <tobias at grosser.es> wrote:
>>
>>> On 09/08/2013 08:03 PM, Star Tan wrote:
>>> Also, I wonder if your runs include the dependence analysis. If this is
>>> the