similar to: Samba in heterogeneous 95/NT environment

Hello, I have a data set containing categorical and ordinal factors, as well as sampling weights (i.e., survey weights reflecting unequal probabilities of selection). I want to fit a structural equation model with sem(). I have run sem() on weighted covariance matrices using advice from John Fox (see <http://tolstoy.newcastle.edu.au/R/e5/help/08/12/8773.html> and

[off topic] I'm not a fan of the "reply-to-list" default. Thanks for the feedback! More below. On 7/30/20 6:01 AM, David Chisnall via llvm-dev wrote: > On 28/07/2020 07:00, Johannes Doerfert via llvm-dev wrote: >> TL;DR >> ----- >> >> Let's allow to merge to LLVM-IR modules for different targets (with >> compatible data layouts) into a single

Dear R-users, I am trying to make Snow and Rmpi working on an heterogenous cluster of linux computers. The master computer is built on a 64 bit architecture whereas all nodes are built on a 32 bit architecture. LAM/MPI was installed successfully on all machine. LAM boots correctly on the master computer and it recognizes all nodes defined in the lamhosts file. However, when starting R,

I have heterogeneous variance in a two-way mixed effects ANOVA, with more than 2 groups in each factor. Is there something like oneway.test or a Brown-Forsythe test that will let me test for differences in means? Thanks! -Keith

I have a dataframe with many rows like this: > df X1 X2 X3 X4 X5 X6 X7 week d sim1 FALSE TRUE TRUE TRUE TRUE TRUE TRUE 1 0.3064985 sim1 is the rowname, X1..X7,week,d are the column names. X1..X7 are factors, booleans in this case. I need to add another row, represented by the following list: list(rep(T,7),5,0.0) -- i.e, TRUE in all boolean columns,

Dear R-help: Does anyone know of a package in R that will do Welch's modified F-test for heterogeneous error variances? Are there other statistical techniques available in R that test the equality of means when homoscedastisity is violated? 't.test' does this in the pairwise sense when var.equal = TRUE. With best wishes and kind regards I am Sincerely, Corey A. Moffet Support

Hello all, Can anybody tell me how to implement the heterogeneous bootstrap algorithm by the FEAR package. I only know there is a command (boot.sw98) for homogeneous bootstrap. Thanks a lot. Xiaoxi _________________________________________________________________ Hotmail is redefining busy with tools for the New Busy. Get more from your inbox.

On Fri, 21 Sep 2018, 12:54 Robert Wooden via samba, <samba at lists.samba.org> wrote: > I have been reading every article I can find to determine how to share home > directory redirection across multiple OS workstations. > > The end result I am looking for is to store user home directory on a member > server and allow (in my case) Windows and Linux (Ubuntu in my case) >

Hi, i read something about MECOSA3 (G.Arminger) which is a software to : "Analysis of finite mixtures of conditional Lisrel models" I'm very interested to identify heterogeneous subpopulations and ask me are similar functions doing something in R, too ??? I know SEM and perhaps with some additions/modifications it is possible doing this general mean- and covariance structures with

I have seen several queries about parameterizing the negative binomial scale parameter. This is called the heterogeneous negative binomial. I have written a function called "nbinomial" which is in the msme package on CRAN. Type ?nbinomial to see the help file. The default model is a negative binomial for which the dispersion parameter is directly related to mu, which is how Stata,

TL;DR ----- Let's allow to merge to LLVM-IR modules for different targets (with compatible data layouts) into a single LLVM-IR module to facilitate host-device code optimizations. Wait, what? ----------- Given an offloading programming model of your choice (CUDA, HIP, SYCL, OpenMP, OpenACC, ...), the current pipeline will most likely optimize the host and the device code in isolation. This

On Sat, Jun 6, 2015 at 6:24 PM, Christos Margiolas <chrmargiolas at gmail.com> wrote: > Hello, > > Thank you a lot for the feedback. I believe that the heterogeneous engine > should be strongly connected with parallelization and vectorization efforts. > Most of the accelerators are parallel architectures where having efficient > parallelization and vectorization can be

Greetings, all. I've got a datafile I've been working with that has an ideosyncratic, heterogeneous format. It's grossly like: [...] DISKREAD,metadata about disks MEM,metadata about memory ZZZZ,observation-identifier,time,date DISKREAD,observation-identifier,data about disks MEM,observation-identifier,data about memory [ and repeat for each observation ] What I've done in

Hi llvm-dev, I'm writing on behalf of a team at AMD working on upstreaming support for AMD GPUs into GDB. We have drafted a proposal of backwards compatible extensions to DWARF for heterogeneous debugging which is rendered at https://llvm.org/docs/AMDGPUDwarfProposalForHeterogeneousDebugging.html. The proposal includes a thorough introduction with justification, so I won't belabor that

Christos, We would be very interested in learning more about this. In my group, we (Prakalp Srivastava, Maria Kotsifakou and I) have been working on LLVM extensions to make it easier to target a wide range of accelerators in a heterogeneous mobile device, such as Qualcomm's Snapdragon and other APUs. Our approach has been to (a) add better abstractions of parallelism to the LLVM instruction

I have been reading every article I can find to determine how to share home directory redirection across multiple OS workstations. The end result I am looking for is to store user home directory on a member server and allow (in my case) Windows and Linux (Ubuntu in my case) workstations to access their home directory in a single sign (to any OS) situation. (On Ubuntu, leaning toward using winbind

On 7/30/20 8:48 AM, Renato Golin wrote: > On Thu, 30 Jul 2020 at 13:59, Johannes Doerfert via llvm-dev > <llvm-dev at lists.llvm.org> wrote: >> FWIW, I would expect that we split the module *before* the codegen stage >> such that the back end doesn't have to deal with heterogeneous models >> (right now). > Indeed. Even if the multiple targets are all supported

I've been thinking about ways to proceed if I need to set up 5 machines with basically identical software but somewhat variable hardware. A simple approach would be to just set up my golden system and clone the disk, but the hardware differences would probably cause problems. One approach that appeals to me is to install minimal centos on the first system, add a few rpms after installation,

On Sun, Jun 7, 2015 at 2:22 AM, Eric Christopher <echristo at gmail.com> wrote: > > > On Sat, Jun 6, 2015 at 5:02 AM C Bergström <cbergstrom at pathscale.com> wrote: >> >> On Sat, Jun 6, 2015 at 6:24 PM, Christos Margiolas >> <chrmargiolas at gmail.com> wrote: >> > Hello, >> > >> > Thank you a lot for the feedback. I believe

On 7/28/20 2:24 PM, Renato Golin wrote: > On Tue, 28 Jul 2020 at 20:07, Johannes Doerfert via llvm-dev > <llvm-dev at lists.llvm.org> wrote: >> Long story short, I think host & device need to, and in practice do, >> agree on the data layout of the address space they use to communicate. > > You can design APIs that call functions into external hardware that