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author | Josep Sanjuas <jsanjuas@gmail.com> | 2015-04-18 13:28:48 +0200 |
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committer | Josep Sanjuas <jsanjuas@gmail.com> | 2015-04-18 13:28:48 +0200 |
commit | e76f54e059fc89bb2cdab0a61700988c56b609d3 (patch) | |
tree | 2f4cd9e6c837d96aa1173951a79a81bc7563e40b /lib/pure | |
parent | d0ff06b8c14e3b505d0c14ca5c9c37e8b667c875 (diff) | |
download | Nim-e76f54e059fc89bb2cdab0a61700988c56b609d3.tar.gz |
Generalize variance to other types
Diffstat (limited to 'lib/pure')
-rw-r--r-- | lib/pure/math.nim | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/lib/pure/math.nim b/lib/pure/math.nim index 0051c9d88..ef9c69e3c 100644 --- a/lib/pure/math.nim +++ b/lib/pure/math.nim @@ -122,13 +122,13 @@ proc mean*[T](x: openArray[T]): float {.noSideEffect.} = ## ``toFloat(x: T): float`` must be defined. result = toFloat(sum(x)) / toFloat(len(x)) -proc variance*(x: openArray[float]): float {.noSideEffect.} = +proc variance*[T](x: openArray[T]): float {.noSideEffect.} = ## computes the variance of the elements in `x`. ## If `x` is empty, NaN is returned. result = 0.0 var m = mean(x) - for i in 0 .. high(x): - var diff = x[i] - m + for i in items(x): + var diff = toFloat(i) - m result = result + diff*diff result = result / toFloat(len(x)) |