Expand description
Statistics, Vector Algebra, Information Measures, Matrix Decomposition, Multidimensional Data Analysis, Machine Learning.
Modules
Custom error RError
Vector algebra mutating an f64 vector
Basic statistics on a single generic vector
Vector algebra on two generic vectors
Stats and vector algebra on one or two u8 vectors
Multidimensional operations on sets of vectors
Multidimensional operations on sets of vectors, with additional inputs
Macros
Macro here!() gives &str with the file:line path::function-name of where it was called from.
Structs
Wrapper type for custom conversions to f64
Holds measures of central tendency and spread. For example, geometric mean and standard deviation ratio. Usually some kind of mean and its associated standard deviation.
Median, quartiles, mad (median of absolute diffs)
struct for minimum value, its index, maximum value, its index
Constants
When interpolated, makes following foreground rendering bold blue
When interpolated, makes following foreground rendering bold cyan
When interpolated, makes following foreground rendering bold green
When interpolated, makes following foreground rendering bold magenta
When interpolated, makes following foreground rendering bold red
Returns the terminal rendering to default
When interpolated, makes following foreground rendering bold yellow
Traits
Finding 1D medians, quartiles, and MAD (median of absolute differences)
Mutable operations on one generic slice.
A few of the essential Vecg methods are reimplemented here
to mutate self. This is for efficiency and convenience.
For example, in vector iterative methods.
Trait to serialize slices of generic items &[T] (vectors)
and slices of Vecs of generic items &Vec
Statistical measures of a single variable (one generic vector of data) and vector algebra applicable to a single (generic) vector. Thus these methods take no arguments.
Methods applicable to a slice of vectors of generic end type. Operations on a whole set of multidimensional vectors.
Methods applicable to slice of vectors of generic end type, plus one other argument of a similar kind
Vector Algebra on two vectors (represented here as generic slices).
Also included are scalar operations on the self vector.
Methods specialised to and more efficient, for &[u8]
Functions
Data of end type i64 has to be explicitly converted to f64 (as f64 does not work).
This is to raise awareness that in this conversion, some precision may be lost.
This function lossily clone-converts a slice &[i64] to Vec<f64>.
Generates an nxn identity matrix in lower triangular 1d scan form
Translates subscripts to a 1d vector, i.e. natural numbers, to a pair of coordinates within a square lower triangular matrix. Enables memory efficient representation of such matrices as a flat vector.
Sum of natural numbers 1..n.
Also the size of an upper or lower triangle
of a square array (including the diagonal)
to exclude the diagonal, use sumn(n-1)
Type Definitions
Shorthand type for returned errors with message payload