similar to: Speeding nested loops up

The following code results in a seg fault. > sessionInfo() R version 2.6.0 Under development (unstable) (2007-06-21 r42013) x86_64-unknown-linux-gnu locale: LC_CTYPE=en_US;LC_NUMERIC=C;LC_TIME=en_US;LC_COLLATE=en_US;LC_MONETARY=en_US;LC_MESSAGES=en_US;LC_PAPER=en_US;LC_NAME=C;LC_ADDRESS=C;LC_TELEPHONE=C;LC_MEASUREMENT=en_US;LC_IDENTIFICATION=C attached base packages: [1] stats graphics

*Dear R users, Ive just started using the ff package. There is a csv file (~4Gb) with 7 columns and 6e+7 rows. I want to read only column from the file, skipping the first 100 rows. Below Ive provided different outcomes, which will clarify my problem * > sessionInfo() R version 2.14.2 (2012-02-29) Platform: x86_64-pc-mingw32/x64 (64-bit) locale: ... attached base packages: [1] tools

Hi, Trying to learn Search::Xapian and be better at perl at the same time, I'm stuck, at the DB_CREATE_OR_OPEN error. Perl says this: ~/dev/sandbox/Xapian-perl$ ./Index1-Xap.pl 100-objects-v1.csv db "db" is not exported by the Search::Xapian module Can't continue after import errors at ./Index1-Xap.pl line 7. BEGIN failed--compilation aborted at ./Index1-Xap.pl line 7. What I

I'm new to R. I have a mac (OS10.6). I have converted an Excel file to a csv to import into R. I have used many methods to import the file, most do not work, the best so far is: filename <- read.csv(/Users/Desktop/csvfile.csv", header=T, sep=","). I have also tried taking out the header and sep lines and it still imports fine. Regardless of what I do, it always brings in

Hi, I have big .csv file. I would like to filter that file into a new table. For example, I have .csv file as below: f1 f2 f3 f4 f5 f6 f7 f9 f10 f11 t1 1 0 1 0 1 0 0 0 0 1 t2 1 0 0 0 0 1 1 1 1 1 t3 0 0 0 0 0 0 0 0 0 0 t4 1 0 0 0 1 0 0 0 0 0 t5 0 0 0 0 0 0 0 0 0 0 t6 0 0 0 0 0 0 0 0 0 0

I have big .csv file. I would like to filter that file into a new table. For example, I have .csv file as below: f1 f2 f3 f4 f5 f6 f7 f9 f10 f11 t1 1 0 1 0 1 0 0 0 0 1 t2 1 0 0 0 0 1 1 1 1 1 t3 0 0 0 0 0 0 0 0 0 0 t4 1 0 0 0 1 0 0 0 0 0 t5 0 0 0 0 0 0 0 0 0 0 t6 0 0 0 0 0 0

Hi all, There have been quite a few threads in the recent months pertaining to the ability to directly write native Excel (.xls) files from R. For example, exporting R matrices and/or data frames to an Excel file, with perhaps the ability to create multiple tabs (worksheets) within a single file, with one tab/sheet per R object. There exists the xlsReadWrite package on CRAN by Hans-Peter Suter,

Hi everyone, my apologies if I'm overlooking something obvious in the documentation. I'm relatively inexperienced with the (awesome) ff package. My goal is to use the read.table.ffdf() function to call the read.fwf() function and pass through the colClasses and comment.char arguments. The code below shows exactly what doesn't work for me. If the colClasses and comment.char

I have a dataset and a list of labels. I simply want to apply the labels to the variables, all at once. The only way I was able to do it was using a loop:     for (i in 1:length(data))  label(data[,i]) <- data.labels[i] I'd like to find the non-loop way to do it, using apply or the like... Any help appreciated. [[alternative HTML version deleted]]

Hello, I previously submitted the below query to r-sig-geo, but have had no response. Before I start bothering individual maintainers, I wonder if anyone on this list has any experience with the package and (or!) can diagnose my problems? Thanks, Calum Hello, I am having a little trouble with plotKML and I am not sure whether to ascribe it to my incompetence (most likely), incomplete

Hey Folks, I''ve written a script to generate a list of all files on a machine, then zip the results. ?I''m going to stick a web front end on it, and use it to audit some file servers. The problem is that the ZIP compression/decompression isn''t working, but its not what you might think. ?The script completes, but seems to not actually write anything. Here is a short

i m using a package NbClust for cluster analysis. in the following algorithm ->NbClust(m, diss="NULL", distance = "euclidean", min.nc=2, max.nc=15, method = "ward", index = "all", alphaBeale = 0.1) i want to define my own dissimilarity matrix of dimension 38*38. my original data "m" is a matrix of 365*38. whenever i define my own dissimilarity

I upgraded my Linux box (RHEL4) from Ruby 1.8.2 and RoR 1.0 (with mysql gem v2.6) to Ruby 1.8.4 and RoR 1.1.2 (with mysql gem v2.7). Immediately one of my scripts broke. It was using MySQL''s LOAD DATA LOCAL mechanism to bulk load a CSV file. While it worked fine in the old version in the new version when I do: loadcmd = "load data local infile ''#{csvfile}'' ...

I''m running a rails 2.3.5 / ruby 1.8.7 / postgresql 8.4.2 app and have just run into a curious problem. I have several tables that are initialized with data from csv files and I''ve noticed that, when I try to add new data to any of these tables via Table.new I get a PGError on duplicate key. For example: MIGRATION: class CreateNumbers < ActiveRecord::Migration def self.up

Dear R-helpers, I am stuck on an error in R: When I run my code (below), I get this error back: Error in names(x) <- value : 'names' attribute must be the same length as the vector Then when I use traceback(), R gives me back this in return: `colnames<-`(`*tmp*`, value = c(""Item", "Color" ,"Number", "Size")) I'm not exactly

I have a site on a shared host at TextDrive. I have an import process that imports a CSV file into the database using a ruby script executed using script/runner. TextDrive has a memory limit which I am hitting and the process gets killed. I get through to about 400 records before it dies. I guess each time I instantate a new object for each record I am using more memory but thought I was using

Hi all, I have to transfer thousands of files across my network. We are looking at using rsync via a squid proxy to help improve the network tuning. What I am witnessing now is that with each successive file, the transfer speed resets to 0 and ramps up to 2.5MB/s. Is there anyway that I can group these transfers together to take better advantage of our bandwidth? I should be able to peak at

For info, I put a little study I did about the byte code compiler and other speedup approaches (but not multicore) on the Rwiki at http://rwiki.sciviews.org/doku.php?id=tips:rqcasestudy which looks at a specific problem, so may not be relevant to everyone. However, one of my reasons for doing it was to document the "how to" a little. JN > > 2. Have you tried the

I currently managed to get wine to run Starcraft. However, it seems to run very slow. I have a 700mhz processor and a 32mb GeForce2 MX so I'm pretty sure that my system is capable of handling the game. What can I do to accelerate the game or any other programs in general?

I have a 3.2 GHz P4 Win XP Pro connected to a Fedora Core 4 server running on a 2 GHz Celeron. I get about 350 MB/s FTP transfer over a Gigabit Ethernet connection. Samba is very much slower between the same computers. Can Samba be sped up to where it approaches the FTP performance? -- Chuck Forsberg caf@omen.com www.omen.com 503-614-0430 Developer of Industrial ZMODEM(Tm) for Embedded