similar to: Passing single precision arrays to legacy code

Hi, I'm trying to read a .mat file into R (2.11.1) with medium success so far. The file I have is a MATLAB 5.0 MAT-file exported from RiverSurveyor LIVE software (http://www.sontek.com/software.php). I have R.matlab and Rcompression installed and readMat() starts reading the file, as can be seen in verbose mode (hence medium success), but then gives the following error: Error in dim(matrix)

I am writing a wrapper function in C++ that calls a GPU kernel. My array type for the GPU kernel is float, so I would like my wrapper function to receive float arrays from R. I understand that I can use 'as.single' in R to copy a double-precision vector from R in single-precision format while using the '.C' interface, but is there any way to do something similar for

Hi, everyone. As mentioned in my message of earlier today, I'm trying to do hierarchical clustering on a data set that's probably too big. I may have to take a subset eventually, but I'm spending a little time trying to try to reduce memory use in the hope that I'll manage to do the full set. One thing that occurred to me was to modify the underlying fortran code (hclust.f, from

Hello, today I wanted to remove one drive from raid1, and people at #btrfs advised me to use ''-dconvert=single'' before ''btrfs device delete''. I thought of adding ''-mconvert=dup'' too, but the kernel does not let me do that. It looks like ''dup'' is disallowed for an array of multiple devices. So, to go back to a single-drive

Full_Name: Allen McIntosh Version: 2.0.0 OS: Linux Submission from: (NULL) (67.80.175.118) Observed the bug with the following combinations: (RedHat 7.3, R 1.6.0) (RedHat 7.3, R 1.9.1) (Redhat 9, R2.0.0). In the second plot (.png file) produced by the following sequence: png(file="x%d.png") plot(1:10,1:10,main="ooo",type="n") segments(1:9,1:9,2:10,1:9)

Hey, I am hoping that some one on this list may be able to help me. I started investigate the possibility of forking a process, the child then attach to a pty, dup std[in|out] to the pty, then exec the ssh client. For some reason, the ssh client still prompted straight to stdin and stdout rather than through the pty that I created. There seem to be a few issues with this. Can someone tell

Is it possible to override S4 methods in an installed package? The naive library("pkg") setMethod("foo", signature(obj = "bar"), function(obj , x, y) { new definition } , where="package:pkg") results in the error Error in setMethod("foo", signature(obj = "bar"), function(obj, : the environment "pkg" is

Hi I have installed R-1.9.1 on an 6 year old Sun running Solaris 2.6. After some initial failures to compile I used the : gcc 2.7.2.3 f77 compilers with gnu make. [could not get gcc 3.4.1 to compile] All but one of the .c programs compiled [that being src/main/connections.c which I manually compiled using cc] and the make check tests all worked [apart from the internet]. However I get the

nouveau screens are reused for the same device node. However in the scenario where we create screen 1, screen 2, and then delete screen 1, the surrounding code might also close the original device node. To protect against this, dup the fd and use the dup'd fd in the nouveau_device. Also tell the nouveau_device that it is the owner of the fd so that it will be closed on destruction. Also make

Hey all, Just did a btrfs balance on a single device. Before the balance operation here is the df result: inglor@tiamat ~$ btrfs fi df /home Data: total=19.19GB, used=9.34GB System, DUP: total=32.00MB, used=4.00KB Metadata, DUP: total=896.00MB, used=227.98MB Then I issues a balance operation relocating the chunks across a single device: inglor@tiamat ~$ sudo btrfs fi balance /home [sudo]

I noticed taht R cannot understand certain Fortran real constant formats. For instance: c14 <- as.double( 7.785205408500864D-02) Error: unexpected symbol in " c14 <- as.double( 7.785205408500864D" The above "D" is used in Fortran language to indicate the memory starage mode. That is for instructing Fortran compiler to store such a REAL constant in DOUBLE

Hi, guys. I posted this by accident at rcpp-dev, although it meant to be only to r-dev, so don't flame me here please, rcpp guys will do it there, i am sure :). I have some pretty large arrays in R and i wanted to do some time consuming modifications of these arrays in C++ without actually copying them, just by passing pointers to them. Since i don't know internal data structures of R, i

Full_Name: Allen McIntosh Version: 2.0.0 OS: RedHat 9.0 Submission from: (NULL) (67.80.175.118) The POSIX time printing routine gives strange results when asked to print a time that is exactly midnight: TZ=CST6CDT R -q --no-save > strptime("10/5/2004 00:00:01 CDT", "%m/%d/%Y %H:%M:%S %Z") [1] "2004-10-05 00:00:01" > strptime("10/5/2004 00:00:00

Hello, is there a possibilty in R to convert numbers (double precision, 64bit) into single precision ones (32bit). I need that for compatibility reasons. Until now I call a C application which casts a double to a float. float precision32(double value) { return (float)value; } But I want to use a R only method. What can I do? Kind regards, Sebastian

I am trying to port a huge Fortran routine that has been written using type Real (single precision) instead of Real*8. R works only with double precision and I got absurd results when calling the routine. Is it possible to make it work properly without changing the source code? I am running V0.64.1 of R for Unix. Thanks -------------------------- Carlos Corral van Damme GNSS Unit, GMV

I'm getting the impression from on-line docs that R cannot work with single-precision floating-point numbers, but that it has a pseudo-mode for single precision for communication with external programs. I don't mind that R is using doubles internally, but what about storage? If all I need to store is single-precision (32-bit), can I do that? When it is read back into R it can be

Hello, I'm very new to R and don't know much about it yet. I would like to develop R-programs that work with data of sizes of 10^10 - 10^11 data points. We have very-high-memory machines with ~256 GB, but it would significantly help if I could store the data points in single precision in RAM instead of double precision. Is that possible? In the documentation I found a sentence saying its

Dear R-devel, Duncan Murdoch suggested that I repost this if I don't get a response in a week, so here it is. The tests and the patches were on/against revision 59314, but I don't think that any of the commits since then affected the code in question. While tracking down some hard-to-reproduce bugs in a package I maintain, I stumbled on a behavior change between R 2.15.0 and the current

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

I am having some difficulty understanding the implication of lazy evaluation mixed with DUP=F in a .Fortran call. In qr.qty from base DUP is not used as an argument so defaults to T. I am calling qr.qty with a very large array and would like to set DUP=F in the .Fortran call so that qr.qty would be defined as copied below. Is there some risk that a variable used as the argument in the original