I find the hexView package quite helpful for this. --------------------------------------------------------------------------- Jeff Newmiller The ..... ..... Go Live... DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/Batteries O.O#. #.O#. with /Software/Embedded Controllers) .OO#. .OO#. rocks...1k --------------------------------------------------------------------------- Sent from my phone. Please excuse my brevity.
Uwe Ligges <lig...@statistik.tu-dortmund.de> wrote: > > >On 01.08.2013 10:36, Zhang Weiwu wrote: >> Hello. readBin is designed to read a batch of data with the same >spec, >> e.g. read 10000 floats into a vector. In practise I read into data >> frame, not vector. For each data frame, I need to read a integer and >a >> float. >> >> for (i in 1:1000) { >> dataframe$int[i] <- readBin(con, integer(), size=2) >> dataframe$float[i] <- readBin(con, numeric(), size=4) >> } > > >Ideally one would read bunches of identical types within R. This seems >not to be possible here, hence I'd suggest to read it via some C code. > >Best, >Uwe Ligges > > > >> >> And I need to read 100 such data files, ending up with a for loop in >a >> for loop. Something feels wrong here, as it is being said if you use >> double-FOR you are not speaking R. >> >> What is the R way of doing this? I can think of writing the content >of >> the loop into a function, and vectorize it -- But, the result would >be a >> list of list, not exactly data-frame, and the list grows >incrementally, >> which is inefficient, since I know the size of my data frame at the >> outset. I am a new learner, not speaking half of R vocabulary, kindly >> provide some hint please:) >> >> Best. >> >> ______________________________________________ >> 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. ______________________________________________ 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.