similar to: Test Binary File

I'm more like a caveman when it comes to programming tools. So, with that in mind, is there a way to use readBin in a batch format to read in pieces of a large binary file? Thank you for the consideration of my question. Todd Remund

Hi all, I'm having problems trying to export binary arrays from R and importing them into fortran (linux openSUSE 10.3 (x86_64), gfortran compiler, fortran 90/95 program). Let's say the problem can be expressed as: R part ------------ >whini <- runif(1000) >writeBin(whini,"fwhini.dat") f90 part ------------ PROGRAM foo INTEGER, PARAMETER :: DP = KIND(1.0D0) INTEGER ::

Hi, I've read up on readBin() and chapter 6 in the R Data Import/Export manual, but I still can't read a binary file. Here is how the creator of the file described the code that would be needed in Fortran: "Every record has a return in fortran. The length of each record is nx*ny*4. To read you would use the following: nlayx = nx*ny*4 do iz=1,nz,4 read(binary file) var(1:nlayx)

Hello, I'm wondering if I can get some help with reading Fortran binary "unformatted" output files into R. The Fortran output files were generated in Ubuntu 10.04 LTS using gfortran4.4, on a 32bit Intel Core 2 Duo 3.16 GHz machine, with little-endian and record marker lengths equal to 4. The machine I'm currently trying to read this Fortran output file is a Macbook Pro

The structure of the file is clear (see below) the first line is made of integers and doubles with the fifth being a text string followed by arrays of double precision number.: int1 int2 double1 double2 text int3 int4 int5 (array of double) here is an example of file: 1 1 1.0 1.0 "HEAD" 160 224 3 23.4 34.5 ...... I tried to read the first line with readBin (results are copied below):

I'm trying to read a binary file created by a fortran code using readBin and readChar. Everything reads fine (integers and strings) except for double precision numbers, they are read as huge or very small number (1E-250,...). I tried various endianness, swap, But nothing has worked so far. I also tried on R 64 bit for linux and windows (R 2.14) and R 2.11 on windows XP 32 bit. Any help would

How can I add an overall plot title to these four plots? I would like to have something that says, "Distribution Comparisons": par(mfrow = c(2, 2)) # Plot 1 plot(rnorm(10),type="l",col="red") title(main = list(paste("Normal"), ????????????????????????? col="black", cex = 1.0)) # Plot 2 plot(rpois(10,

Is there a place that shows how to create two plots that are stacked on top of each other where they share a common x-axis scale, but have differnt y-axis scale? Say have the following data: airquality Stack plot(airquality$Day, airquality$Wind) on top of plot(airquality$Day, airquality$Temp). I am interested in stacking the two on top of each other with no seam, or plotting the two lines with

By any chance is any one aware of a website, book, paper, etc. or combinations of those sources that show plots of different distributions? After reading a pretty good whitepaper I became aware of the benefit of I the benefit of doing Q-Q plots and histograms to help assess a distribution.   The whitepaper is called: "Univariate Analysis and Normality Test Using SAS, Stata, and SPSS*" ,

R-devel: I am encountering a consistency issue using socketConnection and readBin with *non-blocking* connections on Unix and Windows XP (no Vista to test). I am a bit confused by the behavior of *non-blocking* connections under Windows specifically. When calling readBin on a non-blocking connection when there is no data to read on the socket, the connection under Unix will return a vector of

Are there any tricks associated with file.info? I just tried it on a directory folder and it returned NA for all fields for all files. I tried it on a different folder with different files and it still returned NA. I tried it on a specific file and it returned all the proper info correctly. Just wondering if there are any tricks I've overlooked.

Not sure if there is an R way to do this or a regular express way, but here is what I am trying to do. I've got lots of data where the format is HH:MM:SS, but I need to format it like HH:MM:00, i.e. round the second down to zero. What is the best way to do this? Thanks again. Jason

Hi everybody! I've a large dataset, about 2 Mio entries of the format which I would like to import into a frame: <integer><integer><float><string><float><string><string> Because to the huge data amount I've choosen a binary format instead of a text format when exporting from Matlab. My import function is attached below. It works fine for only

I've done a little snooping around the R Gallery Site (http://addictedtor.free.fr/graphiques/) and the "Statistics with R" site (http://zoonek2.free.fr/UNIX/48_R/all.html), but I can't seem to find what I'm looking for.  Here is the type of plot I would like to draw: (1) 2-D three axis plot where each axis is separated by 120-degrees (would be great if the number of axis

I've seen this asked, but never fully answered.  Is it possible to plot stacked histograms in R? I have four data sets that I would like to show combined vertically in histogram format.  Is this possible?  Thank you for any feedback you can provide. P.S. I know I can show the four sets side by side, but I want to combine them, but still uniquely identify each.   Thanks again.

Hello, I am trying to read in elements out of a very large binary file ... the total file is 4 gigs. I want to select rows out of the file, and the current procedure I run works but is prohibitively slow (takes more than a day to run and still won't complete). Is there any faster way to accomplish this? My current procedure looks like this: readHH <- function(file_name,

Maybe there is a great website out there or white paper that discusses this but again my Google skills (or lack there of) let me down. I would like to know the best way to export several doubles from a function, where the doubles are not an array. Here is a contrived function similar to my needs: multipleoutput<-function(x) { squared<-x^2 cubed<-x^3 exponentioal<-exp(x)

I would like to use the "row number" information returned from performing a subset command on a dataframe. For example, I would like to automatically delete some rows from a dataframe if they match a criteria. Here is my example below. data(airquality) names(airquality) subset(airquality, airquality$Month == 6) Now how do I delete the row numbers returned automatically? I

At one point I believe I heard of an R package that would automatically find the most empty space in a plot, and then that answer could then be used to intelligently place a legend. I would like to try to apply that R package to the contrived example shown below, so thank you for any hints or tips that can be provided. x = seq(0, 1000, by = 1) y1_vals<-rnorm(1000, mean = 0, sd = 50)

Hi all, I have a binary file which have 8*100 bytes. The structure of the file is as follows: every eigth bytes represent 2 data:the first four bytes is the little-endian for integer, the next four bytes is the little-endian for floating32. The structure of the following bytes is as the same as the first eight bytes'. As the function readBin only read the binary file with one structure