similar to: [LLVMdev] a-ha...

Great! Could you please add a /localhome directory to each of them? Since there are 2 disks per machine, perhaps the best thing to do would to make /localhome a real directory and make separate local directories on each disk, so that we can each do something like this: /localhome/vadve -> /mounts/seraph/disks/0/localhome/vadve /localhome/lattner ->

Sorry for that last message, it was intended for llvm at cs instead of llvmdev at cs. --Vikram http://www.cs.uiuc.edu/~vadve > -----Original Message----- > From: Vikram S. Adve [mailto:vadve at cs.uiuc.edu] > Sent: Thursday, October 23, 2003 1:55 PM > To: 'Nate Fyie' > Cc: 'LLVM Developers List' > Subject: RE: Ticket #7559: FW: Bradfields/PCJF-10959 > >

Hi All, following expression: x <- sort(rnorm(10)); e <- ecdf(x); d <- numericDeriv(e(x),"x"); makes d far from approximation of one dimensional pdf. What's wrong then here? Kind regards. --------------------------------------------------------------------------- Valery A.Khamenya Bioinformatics Department BioVisioN AG, Hannover

> Almost any method of fitting a density estimate would work on > integrating (numerically) the result. it is a nice idea concerning the monotony property, which will be obtained automatically, but I am going to use results of approximation analytically > In particular, look at package polspline, where > p(old)logspline does the integration for you. thank you, I am going to

Hi All, We'd like to use functions provided in R in our application. Our application is written in C/C++ and currently runs on win32, Linux and Mac. We'd be happy to attach the whole R ( i.e. not just transfer some function by hand). It is important that we deal with big amount of data, so "command line"-like invocations won't be very interesting. We'd

Hi All, We'd like to use functions provided in R in our application. Our application is written in C/C++ and currently runs on win32, Linux and Mac. We'd be happy to attach the whole R ( i.e. not just transfer some function by hand). It is important that we deal with big amount of data, so "command line"-like invocations won't be very interesting. We'd

> On only ten points, what did you expect ? Even with 1000 > observations, estimating a density is difficult, and has > been the subject of a century of research. Kernel density > estimates are among the most successful. For your immediate > application, try plot(density(rnorm(10)), type="l"), etc. wait, you misunderstood me! I'd like to see 10 or 9 points with

Hi all, is there any package in R capable of smooth approximation of CDF basing on given sample? (Thus, I am not speaking about ecdf) In particular, I expect very much that the approximation should subject to the property: f(x0)<=f(x1) for x0<x1, where x0 and x1 belong to range of the sample given. Polynomial approximation could be OK for me as well. P.S.

Hi all, once more about the old subj :-) My data has too much various distribution families and for every particular experiment I need just to decide whether the data is "quite homogeneous" or it has two or more clusters. I've revisited the following libraries: amap, clust, cclust, mclust, multiv, normix, survey. And I didn't find any ready-to-use general

Dear Prof. Brian Ripley, first of all thank you for your answer, I do appreciate how do you manage to keep successfully all your activities and answer posts in this forum! > An empirical CDF is a step function: it does not have a > derivative at the jump points, and has a zero > derivative everywhere else. of course! Let me add few words concerning my simple motivation. 1.

Hi All, while looking why the cclust(cclust) doesn't work for 1-dimensional data, I've found unpleasant behavior in semantics of R. Indeed: is.matrix(matrix(cbind(c(1,2,3,4)),ncol=2)[1:2,]) == TRUE but: is.matrix(matrix(c(1,2))[1:2,]) == FALSE kind regards, Valery A.Khamenya --------------------------------------------------------------------------- Bioinformatics

> Nothing to do with me: you should report problems with > packages to the > maintainers, rather than R-help or a member of R-core. OK. I've sent a note about cclust patch to Evgenia Dimitriadou Thank you for your valueable comments. (No more reply needed in this thread) kind regards, Valery A.Khamenya ---------------------------------------------------------------------------

> Well, that is in all good texts on R, together with the > solution: drop=FALSE. See ?"[" for the on-line details. OK. Thank you a lot. Now patched cclust and clustIndex work fine for 1D case. BTW, why not to apply the "drop=F" to these functions? I guess other users need 1D case as well. kind regards, Valery A.Khamenya

Hi All is there "homals" package prepared for win32? kind regards, Valery A.Khamenya --------------------------------------------------------------------------- Bioinformatics Department BioVisioN AG, Hannover

Import "DisplayState interface change" from qemu mainstream: the patch has been adapted to qemu-xen and merged with several following fixes. The original qemu svn commit is the following: git-svn-id: svn://svn.savannah.nongnu.org/qemu/trunk@6336 c046a42c-6fe2-441c-8c8c-71466251a162 Signed-off-by: Stefano Stabellini <stefano.stabellini@eu.citrix.com> --- diff --git a/console.c

Hi, Have anybody recently built LLVM in Debug mode /within/ space requirements from the Getting Started doc? https://llvm.org/docs/GettingStarted.html#hardware > An LLVM-only build will need about 1-3 GB of space. A full build of LLVM and Clang will need around 15-20 GB of disk space. From my experience this numbers looks drastically low. On FreeBSD my recent builds consumed more than

https://bugs.freedesktop.org/show_bug.cgi?id=70130 Priority: medium Bug ID: 70130 Assignee: nouveau at lists.freedesktop.org Summary: unable to compile fragment shader program Severity: normal Classification: Unclassified OS: Linux (All) Reporter: infyquest at gmail.com Hardware: x86 (IA32)

Well the pipe_loader stuff is buggy in compute.c, I can't even create a screen object... That's sad. It fails in pipe_loader_probe() & co. On 02/22/2016 02:08 PM, Hans de Goede wrote: > Hi, > > On 22-02-16 14:04, Samuel Pitoiset wrote: >> >> On 02/22/2016 01:46 PM, Hans de Goede wrote: >>> Hi, >>> >>> On 22-02-16 13:41, Samuel Pitoiset

On Mon, Feb 22, 2016 at 8:08 AM, Hans de Goede <hdegoede at redhat.com> wrote: > Hi, > > > On 22-02-16 14:04, Samuel Pitoiset wrote: >> >> >> On 02/22/2016 01:46 PM, Hans de Goede wrote: >>> >>> Hi, >>> >>> On 22-02-16 13:41, Samuel Pitoiset wrote: >>>> >>>> Hi there, >>>> >>>>

On 02/22/2016 01:46 PM, Hans de Goede wrote: > Hi, > > On 22-02-16 13:41, Samuel Pitoiset wrote: >> Hi there, >> >> On 02/22/2016 12:26 PM, Hans de Goede wrote: > > <snip> > >>> So back to the problem of getting OpenCL(ish) code to work again with >>> the recent mesa changes. For starters I would like to get: >>> >>>