[R-SIG-Mac]how fast is R on Mac

Don MacQueen macq@llnl.gov
Thu, 26 Jul 2001 13:45:15 -0700


About 34 seconds on a 400 MHz G3, R 1.2.2, OS 9.1
(not OS X, I can probably test that later today or tomorrow with R 1.2.3)

-Don

>	print(date());
[1] "Thu Jul 26 13:37:06 2001"
>	sum <- 0;
>	for(i in 1:100000)
+	{
+	  odds.ratio <- exp(runif(1));
+	  sum <- sum + hyper(50, 50, 50, odds.ratio);
+	}
>	print(date());
[1] "Thu Jul 26 13:37:40 2001"
>	print(date());
[1] "Thu Jul 26 13:37:40 2001"
>


At 12:19 PM -0700 7/26/01, Jason Liao wrote:
>I am interested in knowing the speed of R on Mac OS X. Can anyone run
>the following code? It runs on a Pentium III 600 MH with 57 seconds.
>Please indicate the hardware configration. Thanks in advance.
>
>Jason Liao
>
>    hyper <- function(n1,n2,m1,psi)
>    {
>       mode.compute <- function()
>	  {
>	     a <- psi - 1;
>		b <- (m1+n1+2)*psi + n2-m1 ;
>		b <- -b;
>		c <- psi*(n1+1)*(m1+1);
>		q <- b + sign(b)*sqrt(b*b-4*a*c);
>		q <- -q/2;
>
>		return(c/q);
>	  }
>	 
>       N <- n1+n2;	 
>       l <- max(0, m1-n2);
>	  u <- min(n1, m1);
>
>	  mode <- mode.compute()
>     
>	  return(mode);
>     }	 
>
>	print(date());
>	sum <- 0;
>	for(i in 1:100000)
>	{
>	  odds.ratio <- exp(runif(1));
>	  sum <- sum + hyper(50, 50, 50, odds.ratio);
>	}
>	print(date());
>	print(date());
>
>
>
>=====
>Jason G. Liao
>Department of Biometry and Epidemiology
>Medical University of South Carolina
>135 Rutledge Ave., STE 1148, Charleston, SC 29425
>phone (843) 876-1114, fax (843) 876-1126
>
>http://www.geocities.com/jg_liao/index.html
>
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-- 
--------------------------------------
Don MacQueen
Environmental Protection Department
Lawrence Livermore National Laboratory
Livermore, CA, USA
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