search for: ibes

Hello, assume I have an "unstructured" text line from a connection. Unfortunately, it is in string format: R> x [1] "\talpha0\t-0.638\t0.4043\t0.4043\t-2.215\t-0.5765\t-0.137\t501\t2000" How can I extract the data included in this string object "x" in order to get the elements for the parameter vector called "alpha0", i.e. -0.638 0.4043 0.0467

On 24/08/15 10:49, Sundeep Singh Nanuwa wrote: > Hi, > > Is there any issues using spaces in directories paths? > > On 21/08/15 11:06, Sunny wrote: >> Hi, >> >> We have the following shares listed in smb.conf >> >> users cannot access the samba share directly i.e. >> >> \\sambaserver\rixilr >> or >> \\sambaserver\bridges >>

Hi, We have the following shares listed in smb.conf users cannot access the samba share directly i.e. \\sambaserver\rixilr or \\sambaserver\bridges error messages '/ibe/dusty/RIXILE Share/Bridges' does not exist or permission denied when connecting to [bridges] Error was Permission denied Aug 21 10:09:12 dish sambaserver[27859]: [2015/08/21 10:09:12.964101, 0]

...an readily fit a "pooling" model using plm(), but not a "within" or "random" model. Reproducing the examples in vignette("plm") and in the AER package I encountered no such issues. ##unfortunately I cannot disclose the data, and it is too big anyway > dim(ibes.kld.exp.p[x.subs , ]) [1] 13189 34 > summary(ibes.kld.exp.p[x.subs , ]$ibes1y.meanest) total sum of squares : 28058 id time 0.752284 0.018656 > summary(ibes.kld.exp.p[x.subs , ]$employee_kld) total sum of squares : 9146.5 id time 0.637098 0.073421 ##fitting a pooling m...

First run of puppet performs a configsync and an attempt to load the downloaded plugins, the provider fails to be found by puppet in this first run, another re-run of puppet is needed for the provider to work, see debug output below. Is this a bug or am I missing something you think? The error in short: err: /Stage[main]/Ibe::Slave/Logical_volume[mysql]: Could not evaluate: No ability to

Hello, I have this kind of dataframe and have to plot it. data <- data.frame(sw= c(1,2,3,4,5,6,7,8,9,10,11,12,15), zehn = c(33.44,20.67,18.20,18.19,17.89,19.65,20.05,19.87,20.55,22.53,NA,NA,NA), zwanzig = c(61.42,NA,26.60,23.28,NA,24.90,24.47,24.53,26.41,28.26,NA,29.80,35.49), fuenfzig =

Hello, I try to write parts of my code in C to accelerate the for-loops. But basic operations I want to do in R (e.g. start cluster). My R code looks something like this: library(Rmpi) mpi.spawn.Rslaves() mpi.remote.exec(....) dyn.load("test.so") erg <- .Call("test", ....) .... mpi.close.Rslaves() mpi.quit() And my C function looks something like this: #include

In the smb.conf I have escaped the path to a samba share in quotes. path = "/ibe/dusty/RIXILE Share/RIXILE" all the users needs to do is go to \\sambaserver\rixilr but get's the following error message does not exist or permission denied when connecting to [rixilr] Error was Permission denied Is this correct syntax? On 24/08/15 11:18, Rowland Penny wrote: > On 24/08/15

On Sat, May 26, 2018 at 11:36:29AM +0100, Mark Brown wrote: > Currently -next is failing to boot on Jetson TK1. The problem looks to > be the Nouveau driver, during initialization it reports an address > decode error then starts printing error messages saying "nouveau > 57000000.gpu: fifo: SCHED_ERROR 20 []" over and over again. > > I've pasted the start of the

A new version of the 'snow' package for parallel computing in R is available at http://www.stat.uiowa.edu/~luke/R/cluster/snow_0.3-3.tar.gz This substantially revises the way in which worker processes are started to allow snow to be used on Windows and Mac/Windows/Linux combinations. I have successfully used the SOCK version on a standalone Windows machine and combinations of

Hello, I want to use expresso for preprocessing the hgu133a-spikein data from affycompII. But there is an error: > library(affy) > path <- "z:/Microarray/hgu133a-spikein/rawdata" > celFile <- list.celfiles(path=path,full.names=TRUE); > affyBatch <- ReadAffy(filenames=celFile[1:6]); > eset1 <-

Hello, which possibilities are available in R for simultaneous or parallel computing? I only could find biopara (http://cran.r-project.org/src/contrib/Descriptions/biopara.html) Are there other possibilities? Are there special groups working on simultaneous computing with R? Thanks Markus -- Dipl.-Tech. Math. Markus Schmidberger Ludwig-Maximilians-Universit?t M?nchen IBE - Institut f?r

Anyone using or has access to ParallelR? I was looking at the page and found nothing really useful! http://www.revolution-computing.com/sitegenius/topic.php?id=195 I want to see if I can run R on a cluster of workstation, and use batch systems like Grid Engine or Xgrid: http://gridengine.sunsource.net/ http://ww.apple.com/acg/xgrid/ --Chi

Hello, we are doing some computations with MPI and Rmpi. Therefore papply is a very comfortable function. Is it possible to reuse calculated data on slaves? We do some calculation with papply, then we have to do some overall calculation at the master then we want to do some calculation on the slaves with the old results and some new results from the master. We do not want to send all data

Hi, This is likely an stupid question, but I cannot find the solution. I am searching for an "exit" function, to end the execution of an R script if some condition is not filled. Any clue? Thank you in advance! Federico

Hello all; I'm trying to execute parallel jobs trough library snow on a cluster built through torque/PSB. I'm succesfully obtaining the cluster with: >system("cat $PBS_NODEFILE > cluster.txt") >mycluster <- scan(file="cluster.txt",what="character") >cl <- makeSOCKcluster(mycluster) The only problem, at the moment, is that if I use

Hi, I had access to an hpc cluster, and wanted to parallelize some of my R code. I looked at the snow,nws, rscalapack documentation but was unable to make out how I should submit my job to the hpc, and how I should code a simple program. For example, if I had 10 matrices, and 10 processor how should I write the R (and the hpc submit code) so that I run the calculations (e.g. rowsums) for each

Hi R users: Is there a function to obtain the correlation within groups from this very simple lme model? > modeloMx1 Linear mixed-effects model fit by REML Data: barrag Log-restricted-likelihood: -70.92739 Fixed: fza_tension ~ 1 (Intercept) 90.86667 Random effects: Formula: ~1 | molde (Intercept) Residual StdDev: 2.610052 2.412176 Number of Observations: 30 Number

When I execute mclapply it creates the needed processes, but these processes never begin computing anything, they just wait indefinitely. I recently upgraded to version 2.9.1, which might have caused the problem. -- Med venlig hilsen Rune Schjellerup Philosof Ph.d.-studerende, Statistik, IST, SDU Telefon: 6550 3607 E-mail: rphilosof at health.sdu.dk Adresse: J.B. Winsl?wsvej 9, 5000 Odense

Hi, I am using a cluster with LAM 7.1.3/MPI 2 and R 2.6.0. Rmpi version 0.5-5 is working very well. Now I have tested "Rmpi 0.5-6". During spawning the Rslaves I get an error: MPI_Error_string: error spawning process > sessionInfo() R version 2.6.0 (2007-10-03) x86_64-unknown-linux-gnu locale: