search for: dble

...n Fortran interfaced with R. Each loop of my Fortran calls various functions of the R RNG through the wrapper given below. In a run of 100 iterations of the Markov kernel, after 20 iterations, the RNG seems like frozen. For example, the first call to the RNG in my loop is: rpostlamb = ggrgam(dble(m),1.d0) write(*,*) 'rpostlamb=',rpostlamb after the 20th iteration, it will return the same value rpostlamb= 1.24634557 for all the following interations. Is there any suggestion of explanation for this strange fact ? Thanks in advance Gilles R Version 2.2.0 compiled under Man...

...in my C Drive: [Image: http://farm4.static.flickr.com/3246/2831484762_32c7aac93a_o.png ] I can see a folder called "Internet Explorer" and when I double click it, I see a file calleD iexplorer.exe [Image: http://farm4.static.flickr.com/3022/2830656525_1b70b5dfd1_o.png ] Then when I dble click on iexplorer.exe I get this: [Image: http://farm4.static.flickr.com/3236/2830673739_3d8ae96b3b_o.png ] So is this normal?? Or do I have to download something else? Have I configured it wrong? Please help, I'm a total newbie at this. Thanks B :D

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

...16/sqrt(2)), the expressions I*(I+1) and (I-1)*N can overflow and turn negative, messing up the indexing and crashing the code and the entire R session with a segmentation fault. My solution is to turn the integers into double precision's, calculate the index and convert back as follows: XI = DBLE(I) IOFFSET=J+NINT( (XI-1)*N - (XI*(XI+1))/2) I'm wondering if there's a better way, something along the lines of unsigned and/or long integers that are available in C? Thanks, Peter

Full_Name: Benjamin Tyner Version: 2.1.0, 4/18/2005 OS: i686-redhat-linux-gnu Submission from: (NULL) (4.64.8.220) # Just run my.test() below in a newly opened R session. Once too many models have been fit (~20 on my system), the computed standard error jumps to a different value. This is (superficially) due to a different residual sum of squares, not a different one.delta. No other aspect of