similar to: DISPLAYING TABLE in file

Hi folks, Suppose I create the character vector charvec by > charvec<-c("a1.b1","a2.b2") > charvec [1] "a1.b1" "a2.b2" and then I use strsplit on charvec as follows: > splitlist<-strsplit(charvec,split=".",fixed=TRUE) > splitlist [[1]] [1] "a1" "b1" [[2]] [1] "a2" "b2" I was wondering

Dear R-Devel List, **TL;DR:** The function **parLapplyLB** of the parallel package has [reportedly][1] (see also attached RRD output) not been doing its job, i.e. not actually balancing the load. My colleague Dirk Sarpe and I found the cause of the problem and we also have a patch to fix it (attached). A similar fix has also been provided [here][2]. [1]:

Hi, I'm trying to understand the rationale for your proposed amount of splitting and more precisely why that one is THE one. If I put labels on your example numbers in one of your previous post: nbrOfElements <- 97 nbrOfWorkers <- 5 With these, there are two extremes in how you can split up the processing in chunks such that all workers are utilized: (A) Each worker, called

Dear Christian and Henrik, thank you for spotting the problem and suggestions for a fix. We'll probably add a chunk.size argument to parLapplyLB and parLapply to follow OpenMP terminology, which has already been an inspiration for the present code (parLapply already implements static scheduling via internal function staticClusterApply, yet with a fixed chunk size; parLapplyLB already

Hi, I'm turning my wheels on this and keep coming around to the same wrong solution - please have a look and give a hand ... The premise is: a DF like so > loremIpsum <- "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Quisque leo ipsum, ultricies scelerisque volutpat non, volutpat et nulla. Curabitur consequat ullamcorper tellus id imperdiet. Duis semper malesuada

Hello, I am new to R. I often collect data at multiple sites and need to create separate graphs (such as scatterplots or histograms) of specific variables for each site. I have tried to do this by splitting the data frame and then using lapply, but it seems that the graphing commands cannot be called as functions. Here is a sample of my data, called "seeddist2": site

I am attempting to use rsync to copy a large filesystem from an HP-UX server to a Linux server with more than enough filespace. This operation fails. A small directory from the same HP-UX server can be transfered just as expected. The HP-UX server is the source. It has 1Gb RAM - the output of bdf for the volume the source files is on is: Filesystem kbytes used avail %used Mounted

Hey All, I'am using pxelinux to try and boot a 200meg uncompressed (approx 50 compressed) ramdisk onto a machine with 512meg of ram. It looks as though I'am running out of memory (attempt to access beyond end of device error). Is there a limit on what we put for ramdisk_size? Or Is there other limitations? thanks -- Jeff Geddes, BSc(UNB) Computer Systems Specialist University of

Currently I'am using samba for file sharing. My smb.conf file is basically setup as default with a few minor changes. Therefore, my samba server is not part of a domain. Right now users can map the samba shares with windows XP... With this type of setup is it possible for them to change there smbpasswd using ctrl-alt-del? If so any examples or hints on how to set this up would be great.

On Tuesday, March 07, 2000 5:40 PM, Richard Bilonick wrote: >I need to merge several data.frames into one data.frame. In S-Plus I would >use >"merge" but I don't see a merge command in R. What is the best way to >accomplish >this? The easiest way to to this, I think, is as follows: if you have several data frames, dataframe1, dataframe2, . . . , dataframen, you

Thank you for your answer! I agree with you except for the 3 (Error) example and I realize now I should have started with that in the explanation. >From my point of view parLapply(cl = clu, X = 1:2, fun = fun, c = 1) shouldn't give an error. This could be easily avoided by using all the argument names in the custerApply call of parLapply which means changing, parLapply <-

Hey all, I'am able to use pxelinux to successfully boot a particular kernel and image on various IBM PC's ex. 6287-41U and 6591-34U. However, using the same setup (ie. dhcp, tftp, pxelinux.0, pxelinux.cfg, networkcard, bootrom, ram memory) on an IBM 6282-73U my kernel and image decompress fine but I'am getting a... Kernel Panic: VFS: Unable to mount root fs on 01:01 I realize

On 03/15/2018 05:25 PM, Henrik Bengtsson wrote: > On Thu, Mar 15, 2018 at 3:39 AM, <FlorianSchwendinger at gmx.at> wrote: >> Thank you for your answer! >> I agree with you except for the 3 (Error) example and >> I realize now I should have started with that in the explanation. >> >> From my point of view >> parLapply(cl = clu, X = 1:2, fun = fun, c =

Hello ! Maybe passing argument root=/dev/ram0 or root=/dev/rd/0 would help ? I use isolinux and it works in the isolinux.cfg sylvain > Message: 3 > Date: Fri, 13 Sep 2002 14:11:38 -0300 (ADT) > From: Geddes <jgeddes at unb.ca> > To: syslinux at zytor.com > Subject: [syslinux] Unable to mount root fs > > > Hey all, > > I'am able to use pxelinux to

Dear All, This is a simple question, but I'm stumped about the simplest way to search a list object such as the following: This randomish snippet: n <- c(round(runif(round(runif(1,1,10),0),1,10),0)) alist <- new("list") for (i in seq_along(n)) { alist[[i]] <- c(round(runif(round(runif(1,1,10),0),1,10),0)) } names(alist) <- sample(letters[1:length(n)]) rm(n);c(alist)

Hello H. Peter, we use pxelinux to start linux on desktop pcs. Now we have a problem with the interaction of dhcp. If the ip address is not fix, we cannot use the ip address as name for the configfile. A better solution would be, first to check for the mac and then for the ip address. Is it possible? TIA, Tobias

Hi! I recognized that the argument matching of clusterApply (and therefore parLapply) goes wrong when one of the arguments of the function is called "c". In this case, the argument "c" is used as cluster and the functions give the following error message "Error in checkCluster(cl) : not a valid cluster". Of course, "c" is for many reasons an unfortunate

Hello everybody, I've got a bit of a problem with parLapply that's left me scratching my head today. I've tried this in R 2.11 and the 23 bit Revolution R Enterprise and gotten the same result, OS in question is Windows XP, the package involved is the snow package. I've got a list of 20 rain/no rain (1/0) situations for these two stations i and j, all the items in this list look

Hello I found that in this version, in the access log, the source log lines are wrong. The number of bytes transfered for the source is always 19 bytes... bla.bla.bla.bla - - [17/Nov/2003:23:25:22 +0100] "SOURCE /radio-bro-gwened.ogg HTTP/1.0" 200 19 "-" "IceS 2.0-Beta2" 13325 bla.bla.bla.bla - - [17/Nov/2003:23:25:52 +0100] "SOURCE /radio-bro-gwened.ogg

what should ssh do for: $ ssh host echo bla | echo bla $ ssh -1 host echo bla | echo bla $ ssh -2 host echo bla | echo bla -m