[Rd] fac.design & mean.default(..., weights)

[Prof Brian Ripley]

See ?weighted.mean

On Sat, 31 May 2003, Spencer Graves wrote:

> Dear R-Developers:
> 
> 	  I had a need for a weighted mean, so I added a "weights" argument to 
> "mean.default", similar to the "weights" argument in "lm".  The 
> resulting code is copied below, in case any of you might find this an 
> interesting and useful option to include in a future release.
> 
> 	  Is this something you like to hear about, or is this email a waste of 
> your time and mine?

Looks like the latter.

BTW, please use sort.list instead of order when the first is appropriate, 
as it is more efficient (slightly).


> 	  Thanks for your valuable work on the R project.
> 
> Best Wishes,
> Spencer Graves
> ####################################
> mean.default <-
> function (x, trim = 0, na.rm = FALSE,
> 	weights=NULL, ...)
> {
> #	mean.default with a "weights" argument
>      if (!is.numeric(x) && !is.complex(x) && !is.logical(x)) {
>          warning("argument is not numeric or logical: returning NA")
>          return(as.numeric(NA))
>      }
> 	 if(is.null(weights)) weights <- rep(1, length(x))
>      if (na.rm) {
> 	     rm.na <- !(is.na(x)|is.na(weights))
> 	     weights <- weights[rm.na]
>          x <- x[rm.na]
>   	 }
>      trim <- trim[1]
>      n <- length(c(x, recursive = TRUE))
>      if (trim > 0 && n > 0) {
>          if (is.complex(x))
>              stop("trimmed means are not defined for complex data")
>          if (trim >= 0.5)
>              return(median(x, na.rm = FALSE))
>          lo <- floor(n * trim) + 1
>          hi <- n + 1 - lo
> #       x <- sort(x, partial = unique(c(lo, hi)))[lo:hi]
> 		  iord <- order(x)
> 		  x <- x[iord][lo:hi]
> 		  weights <- weights[iord][lo:hi]
>          n <- hi - lo + 1
>      }
>      if (is.integer(x))
>          sum(weights*as.numeric(x))/sum(weights)
>      else sum(weights*x)/sum(weights)
> }
> 
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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)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595