On Thu, Sep 22, 2011 at 8:08 AM, Spencer Graves <spencer.gra...@structuremonitoring.com> wrote: > A more general question: What tools are available in R for reading parts of > binary files? 'scan' allows you to 'skip' a certain number of records and > read the next 'nlines'. Unfortunately, scan only seems to work for text > files not binary, and I cannot find a comparable function that would work > for binary files. I tried library(sos); (rb <- findFn('read binary')). > This produced 299 matches. Something there might solve the problem, but I > haven't taken the time to study it carefully. I hope someone else will > know. > > > Spencer >
?readBin and ?seek Also see "Viewing Binary Files with the hexView Package" in RNews Volume 7/1, April 2007. http://www.r-project.org/doc/Rnews/Rnews_2007-1.pdf Cheers, Mike. > > On 9/21/2011 2:15 PM, Ken wrote: >> >> Also with Linux you can add more swap memory(which I'm pretty sure R >> spills into if it hasn't reached it's internal limits on 32 bit >> installations). Windows pagefile is kind of obnoxious. >> Ken Hutchison >> >> On Sep 21, 2554 BE, at 5:05 PM, (Ted Harding)<ted.hard...@wlandres.net> >> wrote: >> >>> Hi Ulisses! >>> Yes, "get more creative" -- or "get more memory"! >>> >>> On the "creative" side, it may be worth thinking about >>> using an independent (non-R) audio file editor. I'm >>> writing from the standpoint of a Linux/Unixoid user >>> here -- I wouldn;t know how to set ebout this in WIndows. >>> >>> You could use R to create a shell script which would run >>> the editor in such a way as to extract your 6 random samples, >>> and save them, where the script would be fed with the >>> randomly-chosen 5-minute intervals decided by R. This >>> could be done under the control of R, so you could set >>> it up for your 1500 or so sets of samples, which (with >>> the right editing program) could be done quite quickly. >>> >>> On Linux (also available for Windows) a flexible audio >>> editor is 'sox' -- see: >>> >>> http://en.wikipedia.org/wiki/SoX >>> >>> To take, say, a 5-minute sample starting at 1 hour, >>> 10 min and 35sec into the audio file "infile.wav", >>> and save this as "outfile.wav", you can execute >>> >>> sox infile.wav outfile.wav trim 01:10:35 00:05:00 >>> >>> and such a command could easily be generated by R and >>> fed to a shell script (or simply executed from R by >>> using the system() command). My test just now with >>> a 5-minute long sample from a .wav file was completed >>> in about 5 seconds, so it is quite efficient. >>> >>> There is a huge number of options for 'sox', allowing >>> you to manipulate almost any aspect of the editing. >>> >>> Hoping this helps, >>> Ted. >>> >>> >>> On 21-Sep-11 19:55:22, R. Michael Weylandt wrote: >>>> >>>> If you are running Windows it may be as simple as using >>>> memory.limit() to allow R more memory -- if you are on >>>> another OS, it may be possible to get the needed memory >>>> by deleting various things in your workspace and running >>>> gc() >>>> >>>> Of course, if your computer's memory is<3GB, you are >>>> probably going to have trouble with R's keeping all objects >>>> in memory and will have to get more creative. >>>> >>>> Michael >>>> >>>> On Wed, Sep 21, 2011 at 3:43 PM, Ulisses.Camargo< >>>> moliterno.cama...@gmail.com> wrote: >>>> >>>>> Hello everybody >>>>> >>>>> I am trying to process audio files in R and had some problems >>>>> with files size. I´m using R packages 'audio' and 'sound'. >>>>> I´m trying a really simple thing and it is working well with >>>>> small sized .wav files. When I try to open huge audio files >>>>> I received this error message: "cannot allocate vector of >>>>> size 2.7 Gb". My job is open in R a 3-hour .wav file, make six >>>>> 5-minute random audio subsamples, and than save these new files. >>>>> I have to do the same process +1500 times. My problems is not >>>>> in build the function to do the job, but in oppening the 3-hour >>>>> files. Does anybody knows how to handle big audio files in R? >>>>> Another package that allows me to do this work? I believe >>>>> this is a really simple thing, but I really don´t know what >>>>> to do to solve that memory problem. >>>>> >>>>> Thank you very much for your answers, >>>>> all the best! >>>>> >>>>> Ulisses >>> >>> -------------------------------------------------------------------- >>> E-Mail: (Ted Harding)<ted.hard...@wlandres.net> >>> Fax-to-email: +44 (0)870 094 0861 >>> Date: 21-Sep-11 Time: 22:05:55 >>> ------------------------------ XFMail ------------------------------ >>> >>> ______________________________________________ >>> R-help@r-project.org mailing list >>> https://stat.ethz.ch/mailman/listinfo/r-help >>> PLEASE do read the posting guide >>> http://www.R-project.org/posting-guide.html >>> and provide commented, minimal, self-contained, reproducible code. >> >> ______________________________________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. > > > -- > Spencer Graves, PE, PhD > President and Chief Technology Officer > Structure Inspection and Monitoring, Inc. > 751 Emerson Ct. > San José, CA 95126 > ph: 408-655-4567 > web: www.structuremonitoring.com > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Michael Sumner Institute for Marine and Antarctic Studies, University of Tasmania Hobart, Australia e-mail: mdsum...@gmail.com ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.