similar to: vector maximum length

Hi, I'm trying to take a vector (length almost 2,000,000) and merge it with a data frame of the same length. I'm trying to do it solely based on index, and not any other factors. The vector is called "offense", and the data frame is just called "data". I went with the simplest option: merge(data,offense) but it always gives me the same error: Error in

Hi I am using following say.conf file. Its a default file, which comes with Asterisk installation. When I call SAY DATETIME AGI function, it simply returns without playing date & time. Where as if I use mode=old setting, it works. Is this a bug or mode=new is not implemented for SAY DATETIME AGI function? [general] mode=new ; method for playing numbers and dates ;

We have an application that has many processing threads writing more than a billion files ranging from 2KB ? 50KB, with 50% under 8KB (currently there are 700 million files). The files are never deleted or modified ? they are written once, and read infrequently. The files are hashed so that they are evenly distributed across ~1,000,000 subdirectories up to 3 levels deep, with up to 1000 files

For future filesystem compatibility, we are wondering if there are any Lustre MDT filesystems in existence that have 2B or more total inodes? This is fairly unlikely, because it would require an MDT filesystem that is > 8TB in size (which isn''t even supported yet) and/or has been formatted with specific options to increase the total number of inodes. This can be checked with

For future filesystem compatibility, we are wondering if there are any Lustre MDT filesystems in existence that have 2B or more total inodes? This is fairly unlikely, because it would require an MDT filesystem that is > 8TB in size (which isn''t even supported yet) and/or has been formatted with specific options to increase the total number of inodes. This can be checked with

Flint failed to deliver indexing performance to Quartz. I am proposing to remove Flint as default database and place Quartz database back as default. The catch is not that Flint database is smaller and faster during searches then Quartz database as developers were concerning when were measuring and neglecting to measure performance when creating the large indexes. The truth is that Flint

I want to do an unbalanced anova on 272,992 observations with 405 factors including 2-way interactions between 1 of these factors and the other 404. After fitting only 11 factors and their interactions I get error messages like: Error: cannot allocate vector of size 1433066 Kb R(365,0xa000ed68) malloc: *** vm_allocate(size=1467461632) failed (error code=3) R(365,0xa000ed68) malloc: ***

"Pacelli, Louis M, ALABS" wrote: > > Hi, > I apologize for sending in this problem via email, but I had trouble using bugzilla. Please use openssh-unix-dev at mindrot.org for problems with OpenSSH Portable (ie anything that's not OpenBSD). > I'm trying to install openssh-3.7.1p2 > When I run the configure step, I get the following message: > >

We have been struggling with our Lustre performance for some time now especially with large directories. I recently did some informal benchmarking (on a live system so I know results are not scientifically valid) and noticed a huge drop in performance of reads(stat operations) past 20k files in a single directory. I''m using bonnie++, disabling IO testing (-s 0) and just creating, reading,

Hello, I have uploaded a csv file that looks like this: > gc alpha_id beta_id 1 142053 1 2 9454 1 3 295618 2 4 42691 2 5 389224 3 6 9455 3 The alpha_id contains 310660 unique values and the beta_id contains 17431 unique values. The number of rows adds up to more than 1.3 million. Now I want to convert

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Hello R-help list I'm trying to run 1 billion iterations of a code with calls to random distributions to implement a data generating process and subsequent computation of various estimators that are recorded for further comparison of performance. I have two question about how to achieve this: 1. the most important: on my laptop, R gives me an error message saying that it cannot

Hello; I am a R newbie and would like to know correct and efficient method for doing string replacement. I have a large data set, where I want to replace character "M", "b", and "K" (currency in Million, Billion and K) to millions. That is 209.7B with (209.7 * 10e6) and 100.00K with (100.00 *1/100) and etc.. d <- c("120.0M", "11.01m",

Currently using R 2.92 Win XP Goal: scale up computing capacity for large datasets (1-5 million records) I realize under 32 bit versions of R the memory.limit is maxed at 4GB. Q: 1. What are the limits under 64 bit versions of R? Are those limits OS dependent? 2. Are there limits to the size of individual objects?? 3. Are there limits or problems in using functions such as lm(), glm(),

Darren, I went to install zlib/openssl and openssh on one of my Sun Servers(Solaris 2.7) and they would not install. Is there a website where I can get Sun versions of these products? Thanks, Lou -----Original Message----- From: Darren Tucker [mailto:dtucker at zip.com.au] Sent: Saturday, November 22, 2003 9:35 PM To: Pacelli, Louis M, ALABS Cc: OpenSSH Devel List Subject: Re: zlib missing when

Hi, I have ~40,000 rows in a database, each of which contains an id column and 20 additional columns of count data. I want to cluster the rows based on these count vectors. Their are ~1.6 billion possible 'distances' between pairs of vectors (cells in my distance matrix), so I need to do something smart. Can R somehow handle this? My first thought was to index the database with

Dear Rusers, The error for the following was that it cannot allocate the vector of length 1920165909. a <- expand.grid(se1=0:100/100, sp1=0:100/100, se2=0:100/100, sp2=0:100/100, DR=0:100/100) How to solve it? Maybe setwd(dir) can, i am not very sure about it. Any ideas about it? [[alternative HTML version deleted]]

Hi all, I have an interesting project coming up, but the datasets are way bigger than anything I've used before with R. I'll end up with a dataset with about 45,000,000 records, each with 3 columns. I'll probably want to add some more columns for analysis if I can. My client can't deal with such big files, so she is sending the data to me in chunks of "only" 4,500,000

Dear all, There have been a variety of discussions on the R list regarding the use of R in clinical trials. The following post from the STATA list provides an interesting opinion regarding why SAS remains so popular in this arena: http://www.stata.com/statalist/archive/2008-01/msg00098.html Regards, -Cody Hamilton