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Folks, I was wondering what the forward plans are for R on Mac vis-a-vis apple-gcc/Clang. Xcode 4 was just released with LLVM 2.x. From what I can tell, Apple will in the future only support...
This works: #include <Rcpp.h> using namespace Rcpp; // [[Rcpp::export]] NumericVector fromList(List outer, std::string name) { return (as <List> (outer[0]) [name]); } /*** R x <- c(0.2855202, 0.6731716, 0.8497825, 0.7445254, 0.2382722) innL <- list(p=x...
Hi, I've one note in my package which I can't seem to resolve while submitting to CRAN: New submission Flavor: r-devel-linux-x86_64-debian-gcc, r-devel-windows-ix86+x86_64 Check: R code for possible...
Thank you for the helpful replies! I got it now, I overlooked the return on the ifelse() before. Thanks a lot again! - Anirban On Thu, Sep 3, 2020, 11:18 AM Anirban <bloodraven166 at gmail.com> wrote: > Hi, I've...
Hi all, Suppose: y<-rnorm(100) x1<-rnorm(100) lm.yx<-lm(y~x1) To predict from a new data source, one can use: # works as expected dum<-data.frame(x1=rnorm(200)) predict(lm.yx, newdata=dum) Suppose lm...
Thanks everyone for your replies. Particularly David. The numbers are pseudo-random. Repeated calls should/would give the same output. Currently, Halton works fine when used to just get the Halton sequence, but the random deviates call is not working...
Hi all, Suppose: y<-rnorm(100) x1<-rnorm(100) lm.yx<-lm(y~x1) To predict from a new data source, one can use: # works as expected dum<-data.frame(x1=rnorm(200)) predict(lm.yx, newdata=dum) Suppose lm...
lme4 (x86_64) compiled fine on Snow Leopard for me. I have the xcode that came with my Snow Leopard installation kit. Best, A On Tue, Sep 15, 2009 at 12:01 AM, Steve Lianoglou <mailinglist.honeypot at gmail.com...
Hi, After building R 2.14.1 on a Linux system (SUSE Linux Enterprise Server 11 (x86_64) ), I ran "make check" but it halted with the foll error: Testing examples for package ?base? Error: testing 'base' failed Execution halted...
Hi, I am having trouble configuring R to use the vecLib BLAS and LAPACK libraries. I am on Mac OS 11.0.1 and Xcode 12.2. I tried the following options: 1. I downloaded the R binary from CRAN...
I would suggest updating R to 2.12.2. That should be fairly seamless/painless. A -- Anirban Mukherjee | Assistant Professor, Marketing LKCSB, Singapore Management University 5056 School of Business, 50 Stamford Road Singapore 178899 | +65-6828-1932 On Mar 5...
To add: If I try to install using the mac.binary, it tells me (on opening the 64 bit app) that the package is not installed for x64. And does not let me load the library when using 64 bit...
library(inline); library(RcppArmadillo) rowSumsRA <- cxxfunction(signature(x = "numeric"), plugin="RcppArmadillo", body='return Rcpp::wrap(arma::sum(as<arma::mat>(x),0));') colSumsRA <- cxxfunction(signature(x = "numeric"), plugin="RcppArmadillo", body='return Rcpp::wrap(arma::sum(as<arma::mat>(x),1...
Shoot. Sorry. Just saw Yan Zhou's post from a few days earlier. Apologize. As far as I can tell, this is a problem only for a matrix larger than 500 * 500. A On Sat, Sep 3, 2011 at 8...
Hi all, I upgraded the OS to Mac OS Lion (10.7.1). Using a Mac Pro, dual hexacore processors. In R (64 bit), the following computes very quickly. # --- CODE --- require(Matrix)??? ??? # Optimized matrix operations require(SuppDists)??? # Optimized random number...
Sorry, what I should have said was Halton numbers are quasi-random, and not pseudo-random. Quasi-random is the technically appropriate terminology. Halton sequences are low discrepancy: the subsequence looks/smells random. Hence, they are often used in quasi...
inline + RcppArmadillo work on Mac. I tested the code in a Mac (Mountain Lion 10.8.4) before posting. Install gfortran from: http://r.research.att.com/gfortran-lion-5666-3.pkg. You can look here for more information: http...
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