similar to: ICC-profiles under WINE?

As part of my GSoC project I have to work out a spec that covers how applications should communicate color management related properties between each other and the compositing manager. The main idea of the project is to let the compositing manager do the color management on behalf of the applications. But before that can happen, the applications have to tell the compositing manager how they want

https://bugs.freedesktop.org/show_bug.cgi?id=111178 Bug ID: 111178 Summary: low quality icc profile for monitor Benq ew2775zh Product: xorg Version: unspecified Hardware: x86-64 (AMD64) OS: Linux (All) Status: NEW Severity: normal Priority: medium Component: Driver/nouveau

dear forum I am hoping somebody can help me compile relatively old versions of wine (~0.9.10 -> 0.9.23) on openSuSE 11.1. I have a dual boot of opensuse 11.1 x86_32 and x86_64 and have had no luck with either. I have successfully compiled wine 1.1.11 but have have the same failure with 0.9.10 and 0.9.20. Code: > ./configure --prefix=/usr --x-libraries=/usr/X11R6/lib

Hello everyone. As some of you know, I was able to compile wine with Intel C++ Compiler (ICC), compilation log is located here: http://wine.x.pl/wine-1.1.38-ICC-compilation.log.tar.gz Some tests failed, and dxgi failed to compile (this is only related to DX10 I think), anyway all apps I tested worked fine (Red Faction 1 & 2, 3DMark 2000,2001SE,2003,Foobar2000,Operation Flashpoint), so I did

On Sat, 2015-09-05 at 11:53 +0200, arnaud gaboury wrote: > On Fri, Sep 4, 2015 at 5:58 PM, Martyn Plummer <plummerm at iarc.fr> wrote: > > On Wed, 2015-09-02 at 20:49 +0200, arnaud gaboury wrote: > >> On Wed, Sep 2, 2015 at 7:35 PM, arnaud gaboury <arnaud.gaboury at gmail.com> wrote: > >> > After a few days of reading and headache, I finally gave a try at

On Wed, Sep 9, 2015 at 11:26 PM, Nathan Kurz <nate at verse.com> wrote: > > As a short and simple approach, I just compiled the current R release > on Ubuntu with ICC and MKL using just this: > > $ tar -xzf R-3.2.2.tar.gz > $ cd R-3.2.2 > $ CC=icc CXX=icpc AR=xiar LD=xild CFLAGS="-g -O3 -xHost" CXXFLAGS="-g > -O3 -xHost" ./configure

Hi Arnaud -- I'm glad it's working for you. I'm not sure I understand your final answer. Are you saying that the version I posted worked for you as given, or that you had to remove some of the other options? Perhaps you could post the full final recipe in a way that others can copy and paste if they find this thread in the future? Also, did you determine if the the same approach

On Fri, Sep 4, 2015 at 5:58 PM, Martyn Plummer <plummerm at iarc.fr> wrote: > On Wed, 2015-09-02 at 20:49 +0200, arnaud gaboury wrote: >> On Wed, Sep 2, 2015 at 7:35 PM, arnaud gaboury <arnaud.gaboury at gmail.com> wrote: >> > After a few days of reading and headache, I finally gave a try at >> > building R from source with Intel MKL and ICC. Documentation

Win7, R2.11.0 I am working on a report together with several co-authors. The data concern several performance measures on a set of groups. These measures are scored by external judges. We report findings on several datasets, including several of the 6 ICC's discussed by Shrout & Fleiss (1979). We determine these using the icc function from the irr package. We have also used the ICC

Dear R users I would like to ask a question regarding to icc (intraclass correlation) or many biologists refer it to as repeatability. It is very useful to get icc for many reasons and it is easy to do so from linear mixed-effects models and many packages like psy, psychometric, aod and irr have functions to calculate icc. icc = between-group variance/(between-group variance + residual

On Wed, Sep 2, 2015 at 7:35 PM, arnaud gaboury <arnaud.gaboury at gmail.com> wrote: > After a few days of reading and headache, I finally gave a try at > building R from source with Intel MKL and ICC. Documentation and posts > on this topic are rather incomplete, sometime fantasist et do not give > much explanations about configure options. > As I am not sure if mine is

I am helping someone calculate ICC using R. I know R has several packages like irr, psy etc which provide options to calculate ICC (intraclass correlation coefficient). When getting ICC, we need to use the model: two-way mixed model with absolute agreement. I only found that in irr package, it provides the option of choosing one or two way and consistence or absolute agreement model. However,

On Tue, Sep 29, 2015 at 8:11 PM, Nathan Kurz <nate at verse.com> wrote: > Hi Arnaud -- > > I'm glad it's working for you. I'm not sure I understand your final > answer. Are you saying that the version I posted worked for you as > given, or that you had to remove some of the other options? I say it works perfectly when using the single dynamic library (lmkl_rt):

Hi, all There are 62 samples in my data and I tested 3 times for each one, then I want to use ICC(intraclass correlation) from irr package to test the consistency among the tests. *combatexpdata_p[1:62] is the first text results and combatexpdata_p[63:124] * is the second one and *combatexpdata_p[125:186]* is the third. Here is the result:

On Wed, 2015-09-02 at 20:49 +0200, arnaud gaboury wrote: > On Wed, Sep 2, 2015 at 7:35 PM, arnaud gaboury <arnaud.gaboury at gmail.com> wrote: > > After a few days of reading and headache, I finally gave a try at > > building R from source with Intel MKL and ICC. Documentation and posts > > on this topic are rather incomplete, sometime fantasist et do not give > >

Hi, To this point I have been careful about mixing Win2K and WinXP profiles when using samba as a PDC/Profile server. Settings I have used have been like the following... logon path = \\%L\profiles\%u\%m (in smb.conf) with a typical profile directory as follows... drwx------ 14 test wheel 512 Mar 14 11:32 Win2K drwx------ 17 test wheel 512 Oct 27 18:22 WinXP lrwxr-xr-x 1 test

>>>>> CanisMaior writes: > Bugs compiling R-1.7.1 with Intel compilers icc and ifc, > on x86-computer (Pentium IV) and linux operating system > Hello, > as there aren't many reports about that issue, I'll give a little > report here. (Hope I don't bother anyone) > The best thing about using icc and ifc are the warnings, because > it is said that

Hi, I got the following problem when I type make. The error is not enough verbose to me so I can find the problem. Please cc me, I'm not subscribed. Thanks, Mathieu --------------------------- make[4]: `vfonts.so' is up to date. building system startup profile building package 'base' all.R is unchanged ../../../library/base/R/base is unchanged dyld: lazy symbol binding failed:

I would appreciate some thoughts on using the bootstrap functions in the library "bootstrap" to estimate confidence intervals of ICC values calculated in lme. In lme, the ICC is calculated as tau/(tau+sigma-squared). So, for instance the ICC in the following example is 0.116: > tmod<-lme(CINISMO~1,random=~1|IDGRUP,data=TDAT) > VarCorr(tmod) IDGRUP = pdLogChol(1)

Dear developeRs, As of icc 10, the -c99 option is deprecated, and generates a lot of warnings when compiling R or R packages. If you use CC="icc -std=c99" instead of just CC="icc", R's configure will not add the -c99 option, and the code seems to compile and run just fine. (Please don't hesitate to let me know if this is a bad idea. :-) -- Regards, Bj?rn-Helge