Is sequence used enough to warrant this? As the help page says
Note that ?sequence <- function(nvec) unlist(lapply(nvec,
seq_len))? and it mainly exists in reverence to the very early
history of R.
I regard it as unsafe to assume that NA_INTEGER will always be
negative, and bear in mind that at some point not so far off R
integers (or at least lengths) will need to be more than 32-bit.
On Sun, 28 Nov 2010, Romain Francois wrote:
> Hello,
>
> Based on yesterday's R-help thread (help: program efficiency), and
following
> Bill's suggestions, it appeared that sequence:
>
>> sequence
> function (nvec)
> unlist(lapply(nvec, seq_len))
> <environment: namespace:base>
>
> could benefit from being written in C to avoid unnecessary memory
> allocations.
>
> I made this version using inline:
>
> require( inline )
> sequence_c <- local( {
> fx <- cfunction( signature( x = "integer"), '
> int n = length(x) ;
> int* px = INTEGER(x) ;
> int x_i, s = 0 ;
> /* error checking */
> for( int i=0; i<n; i++){
> x_i = px[i] ;
> /* this includes the check for NA */
> if( x_i <= 0 ) error( "needs non negative integer"
) ;
> s += x_i ;
> }
>
> SEXP res = PROTECT( allocVector( INTSXP, s ) ) ;
> int * p_res = INTEGER(res) ;
> for( int i=0; i<n; i++){
> x_i = px[i] ;
> for( int j=0; j<x_i; j++, p_res++)
> *p_res = j+1 ;
> }
> UNPROTECT(1) ;
> return res ;
> ' )
> function( nvec ){
> fx( as.integer(nvec) )
> }
> })
>
>
> And here are some timings:
>
>> x <- 1:10000
>> system.time( a <- sequence(x ) )
> utilisateur syst?me ?coul?
> 0.191 0.108 0.298
>> system.time( b <- sequence_c(x ) )
> utilisateur syst?me ?coul?
> 0.060 0.063 0.122
>> identical( a, b )
> [1] TRUE
>
>
>
>> system.time( for( i in 1:10000) sequence(1:10) )
> utilisateur syst?me ?coul?
> 0.119 0.000 0.119
>>
>> system.time( for( i in 1:10000) sequence_c(1:10) )
> utilisateur syst?me ?coul?
> 0.019 0.000 0.019
>
>
> I would write a proper patch if someone from R-core is willing to push it.
>
> Romain
>
> --
> Romain Francois
> Professional R Enthusiast
> +33(0) 6 28 91 30 30
> http://romainfrancois.blog.free.fr
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>
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>
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
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