similar to: why double precision in R?

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

I'm working on a shared library of C functions for use with R, and I want to create a matrix in R and pass it to the C routines. I know R computes and supposedly stores numerics in double precision, but when I create a matrix of random numerics using rnorm(), the values are displayed in single precision, and also exported in single precision when I pass them out to my C routines. An example

Hi folks How to place libcall for double precision number comparison. My machine does not have double precision comparison code but llvm is using single precision condition code deliberately. How to solve the problem. Regards VSP -- View this message in context: http://llvm.1065342.n5.nabble.com/Libcall-for-double-precision-comparison-tp59902.html Sent from the LLVM - Dev mailing list

ok, sorry, my mistake was the C printf. Thank you for your good answer Regards ----- Message d'origine ---- De : JS Ubei <jsubei at yahoo.fr> ? : jim holtman <jholtman at gmail.com> Cc : r-help at r-project.org Envoy? le : Jeudi, 17 Juillet 2008, 15h25mn 07s Objet : [R] Re : float and double precision with C code thank you for your quick answer, I'm far of the digits

Dear all, Does R use double precision for calculation as default? If not, how to enforce double precision calculation in R for my current calculation session? I Use R-2.14.0 with windows XP. Thanks,

thank you for your quick answer, I'm far of the digits capacity and my values are not the result of a computation. I'm developping a R package to acces a specific data source. And I need precision a few better. How can I do ? When I try this In R console, this is correct and what I need : > my_value <- 29.958334 > my_value == 29.958334 [1] TRUE But I need to do the first

Hi, If R is compiled for a 64 bit platform, does the double data type make use of the additional precision or is it set at a fixed length? Thanks, Paul

Hi, I am attempting to query a data frame from a mysql database. One of the variables is a unique identification number ("numeric") 18 digits long. I am struggling to retrieve this variable exactly without any rounding. The function I am using is sqlQuery(), with an ODBC connection. Querying directly results in the double being rounded towards the end (eg 6527600583317876352 instead of

Hello R-world! This is my first post to the R list, so I feel that I need to say thanks to the community (I'm using R now for 5 months)! I'd greatly appreciate if somebody could explain some odd behavior of ".Fortran" to me. Let's assume a primitive Fortran subroutine barfoo.f ---------------------------- subroutine bar(y, v) double precision y real v

I haven't had time to try using R for over a year, but have a colleage who wants to. We work with time series and our current version of our calendar-time subroutines in java converts both directions between linear time and calendar. We have used calendar time since year 1965 starting out then with Fortran. Calendar time can be CnYrMoDa | CnYrMoDaHr | CnYrMoDaHrMn | CnYrMoDaHrMnSc |

Hi, I am new to R, but have extensive experience in matlab. I have searched on the web and in Venabels & Ripley book but I was unable to find the equivalent of the eps function in matlab. eps returns the Floating point relative accuracy. thanks

Hi - I have a likelihood function that involves sums of two possions: L = a*dpois(Xi,theta1)*dpois(Yi,theta2)+b*(1-c)*a*dpois(Xi,theta1+theta3)*dpois(Yi,theta2) where a,b,c,theta1,theta2,theta3 are parameters to be estimated. (Xi,Yi) are observations. However, Xi and Yi are usually big (> 20000). This causes dpois to returns 0 depending on values of theta1, theta2 and theta3. My first

Dear all I have a txt file with the following contents 1 50.7906430000000 6.06349800000000 2 50.7907380000000 6.06347100000000 3 50.7910810000000 6.06338000000000 4 50.7911890000000 6.06355200000000 I am usind read.table('myfile.txt',sep=" ") which unfortunately returns only integers and not doubles that are required to store the  50.7906430000000 What can I do to force it

Signed-off-by: Ilia Mirkin <imirkin at alum.mit.edu> --- Not sure how many steps are needed for the necessary accuracy. Just doing 2 because that seems like a reasonable number. .../nouveau/codegen/nv50_ir_lowering_nvc0.cpp | 42 ++++++++++++++++++++-- 1 file changed, 39 insertions(+), 3 deletions(-) diff --git a/src/gallium/drivers/nouveau/codegen/nv50_ir_lowering_nvc0.cpp

Oh right. I think the NVIDIA blob executes those steps conditionally based on the upper bits not being 0x7ff (== infinity/nan). I should do the same thing here. [FWIW I was able to test the nv50 code last night and that one's a total fail for rcp/rsq... will need to port that over to my nvc0 and debug there.] On Mon, Feb 23, 2015 at 8:24 AM, Roland Scheidegger <sroland at vmware.com>

I would like to increase the precision/accuracy of R. That is, I'm dealing with numbers exceedingly close to 1, and I would like to increase the number of significant digits used in computation. In matlab, you can use vpa() to accomplish this. I'm wondering if there's an equivalent or a workaround in R. Greg

Hey everybody, Richard, you were right. I managed to reproduce the same crash without dealing with v2v (and libguestfs). Actually - it's reproducible really ease - I write a big file to /tmp on L0 (till it 100% full) and then run a L2 VM. Almost every time it crushes with double fault. Debugging, debugging and more debugging. Marcelo/Paolo, if you have any clue, I would like to hear from you.

Martijn van Beurden wrote: > Yes, but that MAX value is used to loop over the > qlp_coeff_precision values between MIN and MAX. So, if the > qlp_coeff_precision value is limited in the loop but MAX is not > limited, the loop does the exact same thing multiple times: a > waste of time. Therefore, only the MAX should be limited. > > I don't think the logic is needed

Hi all, R newbie, but have been reading the boards and learning lots. I have read all documents & list-serve responses I could about R and memory but still no answer. QUESTION: When the sizes of your objects exceeds your available RAM, R switches to Virtual Memory right? If so, why does it so often run out of memory and return an "unable to allocate XXX KB" error shortly after

Dear R-help, Please forgive me if any of the following sounds naieve/confused, i've just got back from a mini-pub-crawl, slightly tipsy, and am feeling brave to ask a possibly silly question... also, not to shiny on the technical side of things. Problem - I need to text mine a collection of 10,000 plain text documents, all of which are sitting in a single folder. i don't have any money