diff options
| -rw-r--r-- | lib/pure/stats.nim | 23 |
1 files changed, 21 insertions, 2 deletions
diff --git a/lib/pure/stats.nim b/lib/pure/stats.nim index 2004337df..964938133 100644 --- a/lib/pure/stats.nim +++ b/lib/pure/stats.nim @@ -1,11 +1,12 @@ # # # Nim's Runtime Library -# (c) Copyright 2015 Andreas Rumpf +# (c) Copyright 2015 Nim contributors # # See the file "copying.txt", included in this # distribution, for details about the copyright. # + ## Statistical analysis framework for performing ## basic statistical analysis of data. ## The data is analysed in a single pass, when a data value @@ -181,6 +182,24 @@ proc `+`*(a, b: RunningStat): RunningStat = proc `+=`*(a: var RunningStat, b: RunningStat) {.inline.} = ## add a second RunningStats `b` to `a` a = a + b + +proc `$`*(a: RunningStat): string = + ## produces a string representation of the ``RunningStat``. The exact + ## format is currently unspecified and subject to change. Currently + ## it contains: + ## + ## - the number of probes + ## - min, max values + ## - sum, mean and standard deviation. + result = "RunningStat(\n" + result.add " number of probes: " & $a.n & "\n" + result.add " max: " & $a.max & "\n" + result.add " min: " & $a.min & "\n" + result.add " sum: " & $a.sum & "\n" + result.add " mean: " & $a.mean & "\n" + result.add " std deviation: " & $a.standardDeviation & "\n" + result.add ")" + # ---------------------- standalone array/seq stats --------------------- proc mean*[T](x: openArray[T]): float = ## computes the mean of `x` @@ -281,7 +300,7 @@ proc correlation*(r: RunningRegress): float = let t = r.x_stats.standardDeviation() * r.y_stats.standardDeviation() result = r.s_xy / ( toFloat(r.n) * t ) -proc `+`*(a, b: RunningRegress): RunningRegress = +proc `+`*(a, b: RunningRegress): RunningRegress = ## combine two `RunningRegress` objects. ## ## Useful if performing parallel analysis of data series |