similar to: write to M, using row and columns taken from A and B, with values from C

Hellow everyone, This code bellow will calculate average daily wind speed(measurements are taken every three hours).Any ideas how to take the Min and Max instead of average. library(Matrix) setwd("C:\\Users\\aalyaari\\Desktop\\img") listfile<-dir() long <- file("C:\\Users\\aalyaari\\Desktop\\New folder (5)\\inra.bin", "rb") A=readBin(long, integer(),

Dear All, The code given bellow is to extract values of one region and write that to a text file(there are 365 binary files in the directory). The problem which I am facing is that all my files are binary with size of 360 rows and 720 columns. I specified that in this line: file2<-matrix(data=file,ncol=720,nrow=360) but I got an error : Error in mean(file2[X, Y], na.rm = TRUE) : subscript

The code given below worked well. However, the problem is that when I typed dir1 to see the results I found that R order the files as: [1] "data1.flt" "data10.flt" "data100.flt" "data101.flt" [5] "data102.flt" "data103.flt" "data104.flt" "data105.flt" [9] "data106.flt" "data107.flt"

dir1 <- list.files("C:\\Users\\aalyaari\\Desktop\\cor", "*.bin", full.names = TRUE) dir2 <- list.files("C:\\Users\\aalyaari\\Desktop\\cor2", "*.bin", full.names = TRUE) results <- list() for (.files in dir1){ # read in the 365 files as a vector of numbers for dir1 file1 <- do.call(rbind,(lapply(.files, readBin ,

I have 3 files A ,B ,C as binary files. C represents the values of tepm measured every 3 hours for one month so it has 674200 columns and 248 rows.values of A represent the correspond lines(these values could be within 1to360) and , while values of B represent the correspond pixel(1to720) for each point in file C(so both they have 1 row and 67420rows).Now I will create a new matrix ,M ,which has

I have 365 binary files: https://echange-fichiers.inra.fr/get?k=oy3CN1yV1Um7ouRWm2U ,I want to calculate the monthly average. So from the 365 files, I will get 12 files.I would like also to tell R not to take into account the no-data value (-32765).for example, for the first month, there are 31 records: 3 of these records has the value -32765,I want R to take the average of the rest records(28

I have this https://echange-fichiers.inra.fr/get?k=6TdTdezNeZwAqJtpwVm grib file which is a regular lat-lon 0.25x0.25 degrees and contains 4 fields . I tried to open it using : grib <- readGDAL("C:\\Users\\aalyaari\\Desktop\\Vol_025_H14_2010060700.grib") but I got this error: C:\Users\aalyaari\Desktop\Vol_025_H14_2010060700.grib has GDAL driver GRIB and has 721 rows and

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

Hello! I have problems with using of "readBin" to read files, which was written in C with "fwrite". In the C-File there is the following Code: fwrite(MyitINI,sizeof(itINItype),1,outfile); where MyitINI is a structure of the following form typedef struct{ int KernelFileSave; /* Determined, if Systemmatrix saved or not.*/ char KernelFileName[200]; /* A-Matrix name

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

Dear R user, I am running R under Windows 2000. I am looking for a routine for importing - shape files (ESRI) into R - dbase files (FOXPRO) into R and I am looking for time-space models for description and prediction of Bernoulli-, Binomial- and Poissonvaraibles. Thank's a lot for a reply. Sincerely yours, Ekkehardt Altpeter Swiss Federal Office of Public

I think it would be helpful if readBin checked that its endian argument is a legal value. Why? I was reviewing some of our code and noticed that the author had readBin(..., endian="network") and never having heard of "network", I looked at the man page for readBin, and it hadn't heard of "network" either. Not good. I then looked at the R code for readBin, which

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

Hi folks: This may be a stupid question, but I cannot seem to find a way to tell readBin that I want to read 2-byte integers from the connection. The input file is 150,720 bytes long containing 75,360 short (2-byte) integers. But specifying "integer" or "int" for what in readBin only returns me a vector of length 37680, leading me to believe that sizeof(integer) or

I would like to use readBin to read a binary data file. Most of the data is 4-byte floating point but, for some reason, only double precision appears to be offered. I tried fVariable=readBin(iFile,what=single()); and got 35.87879 which looks believable except that the correct value is 3.030303. I then tried fVariable=readBin(iFile,what=single(),4); and got [1] 3.831111e+10 6.657199e+10

Posting for a friend Begin forwarded message: From: "Geier, Florian" <florian.geier08@imperial.ac.uk<mailto:florian.geier08@imperial.ac.uk>> Subject: Fwd: readBin fails to read large files Date: September 1, 2011 4:10:53 PM GMT+01:00 To: Begin forwarded message: Date: 1 September 2011 16:01:45 GMT+01:00 Subject: readBin fails to read large files Dear all, I am trying

Full_Name: Hugh C. Pumphrey Version: 1.4.1 OS: Linux (Debian Woody) Submission from: (NULL) (129.215.133.170) The function readChar() appears to have some type of problem with memory allocation. I don't know if "memory leak" is the correct term but if one uses readChar() many times, the R binary grows in size until it eats all your memory and swap space. The code enclosed below

Dear all, I see from some previous threads that support for 64-bit integers in R may be an aim for future versions, but in the meantime I'm wondering whether it is possible to read in integers of greater than 32 bits at all. Judging from ?readBin, it should be possible to read 8-byte integers to some degree, but it is clearly limited in practice by R's internally 32-bit integer type:

Dear all, I'm trying to write an efficient binary file reader for a file type that is made up of several fields of variable length, and so requires many small reads. Doing this on the file directly using a sequence of readBin() calls is a bit too slow for my needs, so I tried buffering the file into a raw vector and reading from that ("loc" is the equivalent of the file pointer):

Dear all, I'm trying to write an efficient binary file reader for a file type that is made up of several fields of variable length, and so requires many small reads. Doing this on the file directly using a sequence of readBin() calls is a bit too slow for my needs, so I tried buffering the file into a raw vector and reading from that ("loc" is the equivalent of the file pointer):