similar to: [LLVMdev] Supporting heterogeneous computing in llvm, follow up.

Thanks to Tony Plate for letting me know what the abbreviate.arg option does. I think this could be made more flexible (I.e. =TRUE, =FALSE, =#, where # would be passed to the abbreviate min.length argument). But it follows the example I was given. "print.factor" <- function (x, quote = FALSE, max.levels=5, print.levels = {if (max.levels==0) FALSE else TRUE},

Dear All, I am observing a strange behavior and searching the archives and help pages didn't help much. I have a csv with a variable number of fields in each line. I use dataPoints <- read.csv(inputFile, head=FALSE, sep=";",fill =TRUE); to read it in, and it works. But - some lines are long and 'wrap', or split and continue on the next line. So when I check the dim of

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.

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,

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

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

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

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

Hi, The following changes allow vorbiscomment to read and edit the tags for the first occuring vorbis stream in a muxed (and chained) Ogg bitstream, while retaining the renormalisation. I've tested it on a number of combinations of muxed and chained streams, using the write comments from file option for vorbiscomment to rewrite the comment header and then cmp for binary differences. Seems

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,

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA256 Hi! We are setting up a new file server on an OpenIndiana box (oi_148). The spool is run-in version 28, so the "aclmode" option is gone. The server has to serve files to Linux, OSX and windows. Because of the missing aclmode option, we are getting nuts with the file permissions. I read a whole lot about the problem and the pros and cons

Dear R-list, maybe someone can help me with the following mixed-effects models problem, as I am unable to figure it out with the 'nlme-bible'. I would like to fit (in R, obviously) a so-called animal model (google e. g. "Heritability and genetic constraints of life-history" by Pettay et al.) to estimate the variance component that is due to genetic effects. The covariances of

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

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

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

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

Hi all, to raise the bug vs success ratio i'd like to express my gratitude to all samba members and those who, though not in-core developers, generously supported noobs like me on this mail list. I've set up an environment two months ago and it has run without glitches or tweaks since then. Now as misusing my family as beta testers has worked out so nicely i will deploy an identical

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