time-to-botec

Benchmark sampling in different programming languages
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      1 
      2 {{alias}}( W[, mean] )
      3     Returns an accumulator function which incrementally computes a moving
      4     unbiased sample variance.
      5 
      6     The `W` parameter defines the number of values over which to compute the
      7     moving unbiased sample variance.
      8 
      9     If provided a value, the accumulator function returns an updated moving
     10     unbiased sample variance. If not provided a value, the accumulator function
     11     returns the current moving unbiased sample variance.
     12 
     13     As `W` values are needed to fill the window buffer, the first `W-1` returned
     14     values are calculated from smaller sample sizes. Until the window is full,
     15     each returned value is calculated from all provided values.
     16 
     17     Parameters
     18     ----------
     19     W: integer
     20         Window size.
     21 
     22     mean: number (optional)
     23         Known mean.
     24 
     25     Returns
     26     -------
     27     acc: Function
     28         Accumulator function.
     29 
     30     Examples
     31     --------
     32     > var accumulator = {{alias}}( 3 );
     33     > var s2 = accumulator()
     34     null
     35     > s2 = accumulator( 2.0 )
     36     0.0
     37     > s2 = accumulator( -5.0 )
     38     24.5
     39     > s2 = accumulator( 3.0 )
     40     19.0
     41     > s2 = accumulator( 5.0 )
     42     28.0
     43     > s2 = accumulator()
     44     28.0
     45 
     46     See Also
     47     --------
     48