similar to: Open an r+b file connection on Windows

I would like to reference array dimensions by name in an apply and a summary function. For example: apply(x, "workers", sum) Is there a better way to do this than creating a new attribute for the array and then creating new methods for apply and summary? I don't want to name the individual elements of each dimension (such as with dimnames) but rather name the dimensions. Thanks

I just uploaded two packages to CRAN. shapefiles_0.1.tar.gz - functions to read and write ESRI shapefiles (including dbfs) emme2_0.1.tar.gz - functions to read binary data from an EMME/2 databank data (EMME/2 is a transportation modeling program) Please let me know if you find any bugs or have some suggestions. Thanks. Regards, Benjamin Stabler Transportation Planning Analysis Unit Oregon

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 am trying to build a R 1.7 package under Windows NT. I created the DESCRIPTION file, the RD file and added the code to the R folder. I also downloaded and installed the Rtools package and have Perl 5.0. I know that Perl, Miktex, and gcc are working. I also have my PATH variable set correctly. I can fake install my package by removing the *.R from the code file, using Rcmd Rdconv to create

I put a copy of R 1.8.1 for Windows on our FTP site at: ftp://ftp.odot.state.or.us/outgoing/Test/. It should be there for a few days before it gets deleted. Benjamin Stabler Transportation Planning Analysis Unit Oregon Department of Transportation 555 13th Street NE, Suite 2 Salem, OR 97301 Ph: 503-986-4104 -----Original Message----- From: Peter Wilkinson [mailto:pwilkinson at videotron.ca]

I want to run Rcmd BATCH with R_DEFAULT_PACKAGE=base so it doesn't load any packages, but it seems to reject this argument because it does not start with a '-' or '--'. Is there a different argument that will work? Thanks. Benjamin Stabler Transportation Planning Analysis Unit Oregon Department of Transportation 555 13th Street NE, Suite 2 Salem, OR 97301 Ph: 503-986-4104

I understand how R treats NAs but in the situation below it would be nice to have a na.skip argument to paste so it does not convert the NAs to "NA"s and simply skips those elements of the vector for pasting. > x [1] "2.13" "2.3" NA NA "2.83" NA > paste(x, "0", sep="") [1] "2.130" "2.30"

I am familiar with the rpart and tree packages for classification and regression trees. However, quite a bit of the research in the transportation community relating to decision trees uses the C4.5 family of algorithms by Quinlan. Are there any plans to make a C4.5 (or a derivative of it) available to R? If not, then I might use the WEKA Java package ( http://www.cs.waikato.ac.nz/ml/weka) that

R Help- I have a list of 102 vectors all of the same type and length called time.by.orig. I can't data.frame(time.by.orig) but I can data.frame(time.by.orig[1:length(time.by.orig)]). Why is this? Thanks for your help. str(time.by.orig) List of 102 $ 1 : num [1:102] 1.34 17.39 14.36 14.22 7.56 ... $ 2 : num [1:102] 17.5 0.7 17.7 12.4 10.4 ... $ 3 : num [1:102] 14.063 17.568

To me it seems like writeBin() writes one char/byte more than expected. > con <- file("testbin", "wb") > writeBin("ttccggaa", con) > close(con) > con <- file("testbin", "rb") > readBin(con, what="character") [1] "ttccggaa" > seek(con, what=NA) [1] 9 > close(con) > con <-

The main limitation of the shapefiles package that I put together is that it does not create shapefiles from R objects - rather it only writes shapefiles that have been read into R and manipulated within the constraints of the existing file structure. By this I mean that for example you can change the coordinates of points and write them back out. Or you can add a bunch of blank columns in the

Dear all, I have written a little R program to convert images. See below. Within the loop over j (the filenames) memory consumption grows constantly. rm( ... ) inside the loop did not help. Memory does not grow if I remove the writeBin statements between the two #-------- marks. But obviously this is not solution I want... Thanks for any advice. Manfred Baumstark P.S. As I'm new to R:

Full_Name: Ken Yap Version: 1.6.1 OS: Linux (SuSE 8.0) Submission from: (NULL) (129.78.64.5) I'm trying to copy a file using readBin and writeBin. (The reason is to be able to pipe PostScript or PDF output to a socket later, this is just an experiment.) I do: zz <- file("foo.ps", "rb") r <- readBin(zz, character(), 1000000) yy <- file("bar.ps",

I am trying to build a simple dll with Rcmd SHLIB to link into R. The results of the build are below. From my limited knowledge of building DLLs, it looks like it worked (I didn't get any errors). F:\R\dlls> Rcmd SHLIB add.C making add.d from add.C g++ -IC:/PROGRA~1/R/src/include -Wall -O2 -c add.C -o add.o ar cr add.a *.o ranlib add.a g++ --shared -s -o add.dll add.def add.a

I want to write to M, using row and columns taken from A and B, with values from C. C is a lot longer than A and B, so only the first 67420 elements of C are used in my loop.So how can I improve it to take then the next 67420 and write it to new file and so on till the 248th 67420. Many thanks library(Matrix) M <- Matrix(-9999, 360, 720) ## creat matrix with 720 columns and 360 ro ws

Hi all, I am currently building an application based on R 1.7.1 (+ compiled C/C++ code + MySql + VB). I am building this application to work on 2 different platforms (Windows XP Professional (500mb memory) and Windows NT 4.0 with service pack 6 (1gb memory)). This is a very memory intensive application performing sophisticated operations on "large" matrices (typically 5000x1500

On 15/07/2017 11:33 AM, Anthony Damico wrote: > hi, i realized that the segfault happens on the text file in a new R > session. so, creating the segfault-generating text file requires a > contributed package, but prompting the actual segfault does not -- > pretty sure that means this is a base R bug? submitted here: > https://bugs.r-project.org/bugzilla3/show_bug.cgi?id=17311

Hi, I'm running into more issues when reading data from a gzfile connection. If I read the data sequentially with successive calls to readBin(), the data I get looks ok. But if I call seek() between the successive calls to readBin(), I get corrupted data. Here is a (hopefully) reproducible example. See my sessionInfo() at the end (I'm not on Windows, where, according to the man page,

Hi I have a 3 x 2 contingency table: 10 20 30 40 50 60 I want to update the frequencies to new marginal totals: 100 130 40 80 110 I want to use the ipf (iterative proportional fitting) function which is apparently in the cat package. Can somebody please advice me how to input this data and invoke ipf in R to obtain an updated contingency table? Thanks. By the way I am quite new to R. -- Dr

I am trying to figure out R data types and/or storage mode. For example: > #From a clean workspace > gc() used (Mb) gc trigger (Mb) Ncells 415227 11.1 597831 16 Vcells 103533 0.8 786432 6 > x <- seq(0,100000,1) > is.integer(x) [1] FALSE > is.double(x) [1] TRUE > object.size(x) [1] 800036 > gc() used (Mb) gc trigger (Mb) Ncells 415247