similar to: win2k memory problem with merge()'ing repeatedly (long email)

Good morning, I have currently 63 .csv files most of which have lines which look like 01/06/05,23445 Though some files have two numbers beside each date. There are missing values, and currently the longest file has 318 rows. (merge() is losing the head and doing runaway memory allocation - but thats another question - I'm still trying to pin that issue down and make a small repeatable

Dear friends - merry Christmas and thanks a lot for much help during the year! In the example below I fail to understand how the calculated value pH is represented in a simple plot - also included. The calculations are useful in practice and likely to be right in principle but I cannot see how this occurs: why a calculated value of 7.4 known as numeric is not simply plotted as such. It

Dear friends - copy paste missed SID <- c() before the first loop - sorry BW Troels Den 25-12-2017 kl. 19:12 skrev Troels Ring: > > Dear friends - merry Christmas and thanks a lot for much help during > the year! > > In the example below I fail to understand how the calculated value pH > is represented in a simple plot - also included. The calculations are > useful

Thanks a lot - formatting the ordinate as ylim=c(4,10) before plotting pH also removed the problem, and options(digits=10) confirmed that pH was not all exactly 7.4 - as I knew. Still I wonder just why R chooses to plot(ATOT,pH) as shown with repeated "7.4" instead of some more detailed representation. Thanks a gain and happy New Year! Troels Den 26-12-2017 kl. 01:03 skrev Bert

I hope you will forgive me this simple question on titration. I'm trying to find very small values from the algorithm below, which I believe is correctly formatted, and the constants are also correct. When SID goes over ATOT, fitted vales are much too low compared to the literature. I guess I must be using optimize in a wrong way but cannot find out how to improve it. I'm on windows, R

Good morning! I've searched the docs etc... Am I doing something wrong or is this a bug? I'm doing a merge of two dataframes and getting extra rows in the resulting dataframe - the dataframes being merged might have NAs... count <- 10 nacount <- 3 a1 <- as.data.frame(as.Date("2005-06-01")+0:(count-1)) names(a1) <- "mdate" a1$value <- runif(count)

I was working with the rmetrics portfolioBacktesting function and dug into the code to try to find why my formula with 113 items, i.e. A1 thru A113, was being truncated and I only get 85 items, not 113. Is it due to a string length limitation in R or is it a bug in the strsplit or gsub functions, or in my string? I'd very much appreciate any suggestions ============Input script:

On 03/02/2015 10:55 AM, Wayne Mills wrote: > Hi, > > I built and installed Xen 4.5.0 from source, on top of Ubuntu 14.04.2, using > "make world" and "make install" targets. I then installed latest virt-manager > from pre-built packages. After bringing up virt-manager I attempt to connect > to Xen hypervisor and got: > > unable to connect to

Hi, I have a 3 columns data and need to generate a vector of counts. These counts are the number of rows that are contiguous. It looks easy for manual counting, but to turn it algorithmic really split my head. For example, 11 (i.e. 18004 to 180014), 1 (i.e., 18017), 7 (i.e., 18060 to 18064) 18004 10314568 0.5205757 18005 10333837 0.5135572 18006 10566333 0.5111271 18007 10566624 0.8196611

Thanks Cole, unfortunately I'm a n00b in this area so your response just raised many more questions for me :/ * what are the config file names for libxl, libvirt and virt-manager * where are they located in the respective source trees * are the build flags defined in those config files? * libxl is part of xen 4.5.0 distro (xen/tools/libxl after untarring). But no config file is in

I downloaded and untarred the deb package and grepped for 'configure', but none of the hits were configure commands. Is there a better way to find it? Wayne On Mon, Mar 2, 2015 at 3:08 PM, Cole Robinson <crobinso@redhat.com> wrote: > On 03/02/2015 01:39 PM, Wayne Mills wrote: > > Thanks Cole, unfortunately I'm a n00b in this area so your response just > >

Hello, I have a column in a data frame that need to be 10 digits long. As such: Decimal.Year 1 1994.25997 2 1994.26020 However, R keeps rounding the digits. As such: Decimal.Year 1 1994.260 2 1994.260 *Is there any way to stop this from happening?* Here is how I created the data frame: x <- read.table('bats_1994_CTD.txt') colnames(x) <-

On 03/02/2015 01:39 PM, Wayne Mills wrote: > Thanks Cole, unfortunately I'm a n00b in this area so your response just > raised many more questions for me :/ > > * what are the config file names for libxl, libvirt and virt-manager > * where are they located in the respective source trees > * are the build flags defined in those config files? > * libxl is part of xen 4.5.0

Please, I have a 2GB computer and a huge time-series to embedd, and i tried increasing memory.limit() and memory.size(max=TRUE), but nothing. Just before the command: > memory.size(max=TRUE) [1] 13.4375 > memory.limit() [1] 1535.875 > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 209552 5.6 407500 10.9 350000 9.4 Vcells 125966 1.0 786432 6.0 496686 3.8

I am getting "Error: cannot allocate vector of size 197 MB". I know that similar problems were discussed a lot already, but I didn't find any satisfactory answers so far! Details: *** I have XP (32bit) with 4GB ram. At the time when the problem appeared I had 1.5GB of available physical memory. *** I increased R memory limit to 3GB via memory.limit(3000) *** I did gs() and got

* compiled from cvs, i am trying call ip phones in callmanager 3.2 10.17.0.2 is my callmanager i noticed from network dumps that instead of sending rtp to the ip phone, * sends it to 10.17.0.2! thereby causing no audio from * to ip phone. audio from ip phone to * is ok. only callmanager calls fail. netmeeting works ok... here is the debug, thanks for any info ~kelvin H323 debug enabled --

I came across this in a simulation I ran under 1.6.0: If I do something like R> x <- rnorm(10) R> rval <- NULL R> for(i in 1:100000) rval <- t.test(x)$p.value then the process size remains at about 14M under 1.5.1, but it seems to be almost linearly growing up to more than 100M under 1.6.0. I know that the above simulation is nonsense, but it was the simplest I could come up

This might be because I didn't get it right, but; I thought R would release memory back to the system as (big) objects get removed? Here is my platform (with 1Gb of RAM): platform sparc-sun-solaris2.8 arch sparc os solaris2.8 system sparc, solaris2.8 status major 1 minor 3.1 year 2001 month 08 day 31 language R A little example: Start a new section of R, with

dear R experts: I am of course no R experts, but use it regularly. I thought I would share some experimentation with memory use. I run a linux machine with about 4GB of memory, and R 2.5.0. upon startup, gc() reports used (Mb) gc trigger (Mb) max used (Mb) Ncells 268755 14.4 407500 21.8 350000 18.7 Vcells 139137 1.1 786432 6.0 444750 3.4 This is my baseline. linux

How do people deal with R and memory issues? I have tried using gc() to see how much memory is used at each step. Scanned Crawley R-Book and all other R books I have available and the FAQ on-line but no help really found. Running WinXP Pro (32 bit) with 4 GB RAM. One SATA drive pair is in RAID 0 configuration with 10000 MB allocated as virtual memory. I do have another machine