Import std.math.stats
std.math.stats
Statistics of numbers of any type, worked out in Doubles: the mean, the median, the variance and standard deviation of a sample and of a whole population, percentiles, and histograms. Too few values for what's asked panics, as Python's statistics raises.
std/math/stats.fb
Functions
Mean
function
@PanicsAtCaller Public Function Mean<T: Bounded>(values: T[]): Double
The mean, the sum over the count, or the sum of each value's share where the sum overflows and
the values don't. No values panics.
Median
function
@PanicsAtCaller Public Function Median<T: Bounded>(values: T[]): Double
The middle value, or the mean of the two middle ones for an even count. No values, or a NaN, panics.
Variance
function
@PanicsAtCaller Public Function Variance<T: Bounded>(values: T[]): Double
The variance of a sample, the squared differences from the mean over the count less 1, as an
estimate of the variance of all it was drawn from. Fewer than two values panics.
StdDev
function
@PanicsAtCaller Public Function StdDev<T: Bounded>(values: T[]): Double
The standard deviation of a sample: the square root of its Variance. Fewer than two values
panics.
PopulationVariance
function
@PanicsAtCaller Public Function PopulationVariance<T: Bounded>(values: T[]): Double
The variance of the values as the whole population: the squared differences from the mean over
the count. No values panics.
PopulationStdDev
function
@PanicsAtCaller Public Function PopulationStdDev<T: Bounded>(values: T[]): Double
The standard deviation of the values as the whole population: the square root of their
PopulationVariance. No values panics.
Percentile
function
@PanicsAtCaller Public Function Percentile<T: Bounded>(values: T[], percent: Double): Double
The value below which percent of them lie, from 0 for the least to 100 for the largest, between
the two nearest when it falls between them, as NumPy's percentile does: 50 is the Median. No
values, a NaN, or a percent outside 0 to 100, panics.
Histogram
function
@PanicsAtCaller Public Function Histogram<T: Bounded>(values: T[], bins: Int, low: Double, high: Double): Int[]
How many values fall in each of bins equal ranges from low to high, the last range
holding high too; those outside, and NaN, are left out. A count of bins that isn't above 0,
or a low that isn't below high, or isn't finite, panics.
Histogram
function
@PanicsAtCaller Public Function Histogram<T: Bounded>(values: T[], bins: Int): Int[]
How many values fall in each of bins equal ranges from the least value to the largest, which
all do. No values, a NaN or an infinite one, or a count of bins that isn't above 0, panics.
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