[−][src]Trait rustc_test::stats::Stats
Trait that provides simple descriptive statistics on a univariate set of numeric samples.
Required methods
pub fn sum(&self) -> f64
[src]
Sum of the samples.
Note: this method sacrifices performance at the altar of accuracy Depends on IEEE-754 arithmetic guarantees. See proof of correctness at: ["Adaptive Precision Floating-Point Arithmetic and Fast Robust Geometric Predicates"] (http://www.cs.cmu.edu/~quake-papers/robust-arithmetic.ps)
pub fn min(&self) -> f64
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Minimum value of the samples.
pub fn max(&self) -> f64
[src]
Maximum value of the samples.
pub fn mean(&self) -> f64
[src]
Arithmetic mean (average) of the samples: sum divided by sample-count.
See: https://en.wikipedia.org/wiki/Arithmetic_mean
pub fn median(&self) -> f64
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Median of the samples: value separating the lower half of the samples from the higher half.
Equal to self.percentile(50.0)
.
See: https://en.wikipedia.org/wiki/Median
pub fn var(&self) -> f64
[src]
Variance of the samples: bias-corrected mean of the squares of the differences of each
sample from the sample mean. Note that this calculates the sample variance rather than the
population variance, which is assumed to be unknown. It therefore corrects the (n-1)/n
bias that would appear if we calculated a population variance, by dividing by (n-1)
rather
than n
.
See: https://en.wikipedia.org/wiki/Variance
pub fn std_dev(&self) -> f64
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Standard deviation: the square root of the sample variance.
Note: this is not a robust statistic for non-normal distributions. Prefer the
median_abs_dev
for unknown distributions.
See: https://en.wikipedia.org/wiki/Standard_deviation
pub fn std_dev_pct(&self) -> f64
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Standard deviation as a percent of the mean value. See std_dev
and mean
.
Note: this is not a robust statistic for non-normal distributions. Prefer the
median_abs_dev_pct
for unknown distributions.
pub fn median_abs_dev(&self) -> f64
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Scaled median of the absolute deviations of each sample from the sample median. This is a
robust (distribution-agnostic) estimator of sample variability. Use this in preference to
std_dev
if you cannot assume your sample is normally distributed. Note that this is scaled
by the constant 1.4826
to allow its use as a consistent estimator for the standard
deviation.
See: http://en.wikipedia.org/wiki/Median_absolute_deviation
pub fn median_abs_dev_pct(&self) -> f64
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Median absolute deviation as a percent of the median. See median_abs_dev
and median
.
pub fn percentile(&self, pct: f64) -> f64
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Percentile: the value below which pct
percent of the values in self
fall. For example,
percentile(95.0) will return the value v
such that 95% of the samples s
in self
satisfy s <= v
.
Calculated by linear interpolation between closest ranks.
See: http://en.wikipedia.org/wiki/Percentile
pub fn quartiles(&self) -> (f64, f64, f64)
[src]
Quartiles of the sample: three values that divide the sample into four equal groups, each
with 1/4 of the data. The middle value is the median. See median
and percentile
. This
function may calculate the 3 quartiles more efficiently than 3 calls to percentile
, but
is otherwise equivalent.
See also: https://en.wikipedia.org/wiki/Quartile
pub fn iqr(&self) -> f64
[src]
Inter-quartile range: the difference between the 25th percentile (1st quartile) and the 75th
percentile (3rd quartile). See quartiles
.
See also: https://en.wikipedia.org/wiki/Interquartile_range