Displaying 20 results from an estimated 31 matches for "0.0026".
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0.0025
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
2009 Feb 14
6
Outlier Detection for timeseries
Hello R users,
Can someone tell if there is a package in R that can do outlier detection
that give outputs simiilar to what I got from SAS below.
Many thanks in advance for any help!
Outlier Details
Approx
Chi-
2020 Aug 13
2
Accumulating CPU load from Xorg process with DRI3
I observed this bug for quite some time, but so far I workarounded it
with just setting DRI2 (default) in xorg.conf.d/20-nouveau.conf
Now with two GPU i iwsh to use DRI3, so right now it set up like this:
cat /etc/X11/xorg.conf.d/20-nouveau.conf
Section "Device"
Identifier "Card0"
Driver "nouveau"
Option "PageFlip" "1"
#Option
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",
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
2004 Dec 02
1
treatment contrasts and summary.lm
Dear list members,
I have a 2-factor ANOVA where the summary.lm output looks like this
(using treatment contrasts):
Value Std. Error t value Pr(>|t|)
(Intercept) 0.0389 0.0220 1.7695 0.0817
as.factor(Block)1 0.0156 0.0066 2.3597 0.0215
as.factor(Block)2 -0.0018 0.0037 -0.4857 0.6289
as.factor(Block)3 -0.0007 0.0026 -0.2812 0.7795
2005 Aug 30
1
seeking advice for manipulating matrices to find the difference
I have two matrices (see example below) and I want the differences for the
matching row numbers, but the row numbers are not identical in the two
matrices. There are probably many ways to do this. Anyone know of any easy
way to do this? I could loop over them, but you know what they say about for
loops... Thanks, Roger
> out.r[1:5, 1:3]
1 2 3
1100 -0.0992 -0.0802 -0.0653
1200 -0.1242
2012 Nov 23
2
[LLVMdev] [cfe-dev] costing optimisations
On 23.11.2012, at 15:12, john skaller <skaller at users.sourceforge.net> wrote:
>
> On 23/11/2012, at 5:46 PM, Sean Silva wrote:
>
>> Adding LLVMdev, since this is intimately related to the optimization passes.
>>
>>> I think this is roughly because some function level optimisations are
>>> worse than O(N) in the number of instructions.
>>
2008 Jan 28
0
[LLVMdev] 2.2 Prerelease available for testing
Target: FreeBSD 7.0-RC1 on amd64.
autoconf says:
configure:2122: checking build system type
configure:2140: result: x86_64-unknown-freebsd7.0
[...]
configure:2721: gcc -v >&5
Using built-in specs.
Target: amd64-undermydesk-freebsd
Configured with: FreeBSD/amd64 system compiler
Thread model: posix
gcc version 4.2.1 20070719 [FreeBSD]
[...]
objdir != srcdir, for both llvm and gcc.
Release
2012 Oct 13
1
hep on arithmetic covariance conversion to log-covariance
Dear All,
is there a function in R that would help me convert a covariance matrix built based on arithmetic returns to a covariance matrix from log-returns?
As an example of the means and covariance from arithmetic:
mu <-c(0.094,0.006,1.337,1.046,0.263)
sigma
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
2020 Aug 13
0
Accumulating CPU load from Xorg process with DRI3
I'm aware of this issue, and am experiencing it myself.
The issue is that drmmode_event_handler takes up more and more CPU
time. It seems like some events are being "left behind". I haven't had
time to debug it further yet though.
I also have DRI3 enabled, but only very rarely do I make use of my
secondary GPUs, and I'm pretty sure I've seen the problem happen
without
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.
2014 Aug 15
2
[PATCH net-next] vhost_net: stop rx net polling when possible
After rx vq was enabled, we never stop polling its socket. This is sub optimal
when may lead unnecessary wake-ups after the rx net work has already been
queued. This could be optimized by stopping polling the rx net sock when
processing both rx and tx and restart it afterward. This could save unnecessary
wake-ups and even unnecessary spin locks acquiring with the help of commit
2014 Aug 15
2
[PATCH net-next] vhost_net: stop rx net polling when possible
After rx vq was enabled, we never stop polling its socket. This is sub optimal
when may lead unnecessary wake-ups after the rx net work has already been
queued. This could be optimized by stopping polling the rx net sock when
processing both rx and tx and restart it afterward. This could save unnecessary
wake-ups and even unnecessary spin locks acquiring with the help of commit
2020 Aug 16
1
Accumulating CPU load from Xorg process with DRI3
? ????????? ?? Sunday 16 August 2020 07:20:18 Ilia Mirkin ???????(?):
> Well, if it's easy, try the patches I mailed to nouveau@ for the ddx.
I applied patches manually (copy-pasted patches failed to apply by git apply,
probably whitespace/end of line issues), and now I see in X log (after I left machine to run alone):
[ 3584.553] (DB) NOUVEAU(0): PRESENT: Wait for VBlank failed: Invalid
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
2007 Sep 15
22
[LLVMdev] 2.1 Pre-Release Available (testers needed)
LLVMers,
The 2.1 pre-release (version 1) is available for testing:
http://llvm.org/prereleases/2.1/version1/
I'm looking for members of the LLVM community to test the 2.1
release. There are 2 ways you can help:
1) Download llvm-2.1, llvm-test-2.1, and the appropriate llvm-gcc4.0
binary. Run "make check" and the full llvm-test suite (make
TEST=nightly report).
2) Download
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