similar to: prefix 'R_' when calling external code

Hello, Since I (finally) upgraded to 10.4 "Tiger", I've been experiencing some strange behaviour with dynamic libraries. When I now launch R, and try to use the loess() function from the stats package, I get the following: > R R version 2.4.0 (2006-10-03) Copyright (C) 2006 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with

Dear R developers! Considering I got no response or comments in the general r-help forum so far, perhaps my question is actually better suited for this list? I have added some more hopefully relevant technical details to my original post (edited below). Any comments gratefully received! Best regards, David Kreil. ---------- Dear R experts, I have a problem that is a related to the question

Hi all, I wanto to run a plot about the levels of a variable parting on an ols regression. The regression in done on the rate of return of the variable. Imagine R_{t}=a+b*R_{t-1} So If P, the "estimated" price would be P_{t}=P_{t-1}*R_{t} Imagine that I obtain lm fitted values and the original R_{t}, R_{t-1} are [1000,1] dimmension... How it is posible to obtain also 1000,1 fitted

i have loop index I. I want to increment it by 1. How to do this in registerinfo.td. I m trying following but getting error. let SubRegIndices = [sub_32bit, sub_32bit_hi], CoveredBySubRegs = 1 in { foreach I = 0-255 in { m=add(I,1); def R_#J#_REG64b_#I : R_P<"R_"#J#"_R64b_"#I, !shl(I,2), [!cast<R_P>("R_"#J#"_REG32b_"#I),

I am trying to create a set of wavelets in frequency space--namely Cauchy wavelets for an intensity analysis (von Tscharner, 2000). The wavelets are defined by the following formula: [(f/cf)^(cf*scale)]*[e^((-f/cf)+1)^(cf*scale)] where *f *is frequency of length *n*, *cf* is center frequency (defined below) and is an array of *j *columns and *n* row, and scale is a constant. cf = (1/scale)*(j

In base R, there are lots of environment variables with either prefix 'R_' or '_R_', e.g. R_ENABLE_JIT and _R_RNG_VERSION_. I always considered R_* variables to be "public" and _R_*_ ones being "internal" but realized I don't have a reference for this. Is this true, or is there another reason? Is the difference between the two kinds documented anywhere?

I have a long equation that I need to break in the R documentation of a package or it trails off the right hand side of the page. Here's the formula: \deqn{Cov(r_{ist}, r_{iuv})= [.5\rho_{ist}\rho_{iuv}(\rho_{isu}^2 + \rho_{isv}^2 + \rho_{itu}^2 + \rho_{itv}^2) + \rho_{isu}\rho_{itv}+ \rho_{isv}\rho_{itu}-(\rho_{ist}\rho_{isu}\rho_{isv} + \rho_{its}\rho_{itu}\rho_{itv}) +

Dear List, Having had my appetite sufficiently whetted by Prof. Ripley's email about the new graphics capabilities in Unixes, I wanted to try them out. I updated to svn r44608, configured with the following options: R is now configured for x86_64-unknown-linux-gnu Source directory: .. Installation directory: /usr/local C compiler: gcc -O3 -g -std=gnu99

On Sun, Jul 31, 2011 at 3:04 PM, Jianzhou Zhao <jianzhou at seas.upenn.edu> wrote: > The current memory model section ends with the following discussions: > > "Note that in cases where none of the atomic intrinsics are used, this > model places only one restriction on IR transformations on top of what > is required for single-threaded execution: introducing a store to a

The current memory model section ends with the following discussions: "Note that in cases where none of the atomic intrinsics are used, this model places only one restriction on IR transformations on top of what is required for single-threaded execution: introducing a store to a byte which might not otherwise be stored to can introduce undefined behavior.... " Why is introducing

I noticed a problem using R 2.7.1 on Windows XP SP2 with the precompiled Atlas Rblas.dll. Running the code below causes R to crash. I started R using Rgui --vanilla and am using the precompiled Atlas Rblas.dll from cran.fhcrc.org dated 17-Jul-2007 05:04 for Core2 Duo. The code that causes the crash: x <- rnorm(100) y <- rnorm(100) z <- rnorm(100) loess(z ~ x * y) loess(z ~ x) does

On Sun, Jul 31, 2011 at 7:11 PM, Eli Friedman <eli.friedman at gmail.com> wrote: > On Sun, Jul 31, 2011 at 3:04 PM, Jianzhou Zhao <jianzhou at seas.upenn.edu> wrote: >> The current memory model section ends with the following discussions: >> >> "Note that in cases where none of the atomic intrinsics are used, this >> model places only one restriction on

This came up on r-help but indicates a bug. dnbinom(x,n,p) calls dbinom_raw(n-1,...) which returns 0 for n<1. -thomas ---------- Forwarded message ---------- Date: Thu, 08 Feb 2001 17:10:23 +0000 From: Yudi Pawitan <yudi@stat.ucc.ie> To: Mark Myatt <mark@myatt.demon.co.uk> Cc: R-Help <r-help@stat.math.ethz.ch> Subject: Re: [R] Goodness of fit to Poisson / NegBinomial

for a silly question, wondering how to test fit with the one sample as follow. I have read _fitting distributions with R_, but that doesn't answer my specific question. inclined to use Kolmogorov-Smirnov D, and its associative p value. much appreciation! X20.001 232 93 84 185 336 417 228 199 2110 1411 612 1913 1314 3015

Dear all, I have a somewhat unusual linear mixed model that I can't seem to code in lme. It's only unusual in that one random effect is applied only to some of the observations (I have an indicator variable that specifies which observations have this random effect). The model is: X_hijk = alpha_h + h * b_i + r_(ij) + e_hijk , where h = 0 or 1 (indicator) i = 1, ..., N j = 1,

I use Samba 3.0.23d at FreeBSD 4.11-RELEASE-p25 as PDC and sometimes Microsoft Workgroup Add-On for MS-DOS and Mail as client. At FreeBSD box I have directory /common/install/postgreSQL and symlink to it: /usr/export/XP/i386/\$oem\$/install/postgreSQL -> /common/install/postgreSQL The path /usr/export/XP shared for MS Network as XP and mount via net use X: \\my_server\XP. So files and

Do your 32768 registers also have sub registers? I can't tell you exactly what to change. I'm not familiar with the code. I would just be running grep or something. ~Craig On Fri, Jul 14, 2017 at 10:23 AM, hameeza ahmed <hahmed2305 at gmail.com> wrote: > Thank you so much. I think there is no issue with my definitions since i > have to use larger registers i.e 65536 bit

For reasons which I'll spare you, I'm writing a program to analyse R source code. This has led me to probe some of the darker corners of R syntax to find out what is supposed to happen. Now, from reading the R documentation (and the New S book &c) I know perfectly well that f(a, b, etc) <- x is supposed to turn into a <- "f<-"(a, b, etc, value=x) Except,

Hello r-help, As far as I've seen, there is no function in R dedicated to sampling from a discrete distribution with a specified mass function. The standard library doesn't come with anything called rdiscrete or rpmf, and I can't find any such thing on the cheat sheet or in the Probability Distributions chapter of _An Introduction to R_. Googling also didn't bring back anything.

I have made changes in 3 files: LaneBitmask.h, codegenregisters.cpp and miparser.cpp. files are attached here. Now i am getting following errors. which means registerinfo.inc file is not generated successfully. /PIM/lib/Target/X86/MCTargetDesc/X86BaseInfo.h:733:24: error: no member named 'XMM8' in namespace 'llvm::X86' if ((RegNo >= X86::XMM8 && RegNo <=