similar to: Heterogeneous bootstrap

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,

Hello R users, I have two quick questions while using "lpSolve" package for linear programming. (1) the result contains both characters and numbers, e.g., Success: the objective function is 40.5, but I only need the number, can I only store the number? (2) How to set boundaries for variables? e.g., all variable are positive. Thanks a lot! Xiaoxi

i have this card installed Digium, Inc. Wildcard AEX800 8-port analog card (PCI-Express) following the steps below found on freepbx site cd /usr/src/dahdi-linux-complete-2.2.0.2+2.2.0 make make install make config /sbin/ztcfg echo "/sbin/ztcfg" >> /etc/rc.d/rc.local cd /usr/src/libpri-1.4.10.2 make clean make make install when i run make config i do not get

here is the issue phones freepbx-2.7.0]# ./start_asterisk start STARTING ASTERISK Asterisk ended with exit status 1 Asterisk died with code 1. Automatically restarting Asterisk. Asterisk ended with exit status 1 Asterisk died with code 1. Automatically restarting Asterisk. mpg123: no process killed ----------------------------------------------------- Asterisk could not start! Use 'tail

Hello. I want to estimate the predicted values and standard errors of Y=f(t) and its first derivative at each unique value of t using the smooth.spline function. However, the data (plant growth as a function of time) show substantial heterogeneity of variance since the variance of plant mass increases over time. What is the consequence of such heterogeneity of variance in terms of bias in the

Full_Name: Nuno Monteiro Version: 2.3.1 OS: Windows XP HE Submission from: (NULL) (84.9.38.207) I'm using the FEAR library to perform Data Envelopment analysis with a 36,000 obs dataset. The function dea is working fine but then when I try to use the boot.sw98 to come up with some sensitivity analysis I get the following error:

Hello All, The last two months I have been working on the design and implementation of a heterogeneous execution engine for LLVM. I started this project as an intern at the Qualcomm Innovation Center and I believe it can be useful to different people and use cases. I am planning to share more details and a set of patches in the next days. However, I would first like to see if there is an interest

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

Hello R users, Here is my question about generating random sample. How to set the random seed to recreate the same random numbers? For example, 10 random numbers is generated from N(0,1), then "runif(10)" is used.What if I want to get the same 10 random numbers when I run runif(10) again? Is it possible?I think .Random.seed should be used here. Thanks. Xiaoxi [[alternative

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

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

Hello. We are considering using a samba-based architecture with Unix file/print servers instead of installing NFS clients on every PC, and I have been asked to study samba and give a presentation at some point. So far, my main problem is, we want to use it in a heterogeneous win95/NT4(sp4) environment. While samba (2.0.5) does work perfectly well with NT, we have an authentication problem

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