Rstats is particularly useful for analysis of multidimensional sets of points, with applications to Machine Learning and Data Analysis. Some original concepts are introduced and implemented. They are not likely to be found anywhere else.
This 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 sometimes unchecked for speed, so some caution is advisable.
Basic statistical measures and vector algebra are implemented first. They provide self-contained tools for the more interesting algorithms but can also be used in their own right.
Statistical measures implemented for &[i64]
and &[f64]
.
All these methods operate on one vector of data and take no arguments.
For example, s.amean()
computes the arithmetic mean of slice s
of either type.
Included are:
&[f64]
slices of any length (or space dimensionality).Some of the above more basic Vector methods are for memory efficiency reasons reimplemented so that they mutate self
in place instead of creating a new Vec. They are useful in vector iterative methods. Beware that they do not return anything, so they can not be chained.
Version 0.4.13 Added trend
between two sets of points. More comments, tests and examples.
Version 0.4.12 Some more utilities.
Version 0.4.10 Moved unimportant helper functions out of the main module.
Version 0.4.9 Streamlining, introduced distances
and eccentricities
, with speedups up to 50%.
Version 0.4.8 Added generics to emphasise print vectors and items of various types.
Version 0.4.7 Added Spearman's Rho Correlation. Removed some spurious indirections.
Version 0.4.6 Made eccentricity measure continuous. Added Kendall's Tau (rank) correlation. Moved all correlations to Vectors trait. Improved readme and doc comments.
Version 0.4.4 Medoid now finds the Outlier as well. Improved tests. Defined and added MOE = median of eccentricities (spread) of multivariate data.
Version 0.4.3 Introduced computation of nmedian
residual errors. Improved tests and benchmarks.
Version 0.4.2 Added eccentricity
measures.
Version 0.4.1 Tidier testing and benchmarks.
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.