Rstats is a lean minimalistic library that only depends on anyhow (for its error handling).
Trait RStats is carefully checked and will report all kinds of errors, such as empty input.
Trait Vectors is unchecked to achieve speed, so some caution is advisable.
has statistical methods implemented for &[i64] and &[f64] slices.
For example, s.amean() computes the arithmetic mean of slice s of either type.
Included are:
means (arithmetic, geometric and harmonic),
standard deviations,
linearly weighted means useful for time dependent data analysis,
correlation and autocorrelation,
median and quartiles.
has basic vector algebra implemented for &[f64] slices.
Should you get errors when applying them to Vec<f64>, just convert self using .as_slice(). See doc examples.
Some of the above Vector methods are for efficiency reasons reimplemented here so that they mutate self in place instead of creating a new Vec. Useful for iterative methods on vectors. Beware that some methods do not return anything, so they can not be chained.
Version 0.4.0 Cleanup. Changed the implementation types from Vecs to slices everywhere for consistency. You may need more .as_slice() conversions here and there. Made some subsidiary functions private.
Version 0.3.5 Further imrovement to nmedian, comparison benchmarks.
Version 0.3.4 Updated doc examples.
Version 0.3.3 Added nmedian as the definitive algorithm for finding n-dimensional medians; gmedian is now the defunct Weiszfeld's algorithm which will panic and/or infinitely loop on some data. Also added benchmarks and tidied up the tests.
Version 0.3.2 Added arcentroid = n-dimensional arithmetic mean. Added some more doc examples.
Version 0.3.1 Geometric Median speeded up. Added trait MutVectors.
Version 0.3.0 completed the Geometric Median. Removed duplicated implementations of Vector for Vec<f64>.