@stdlib/stats-incr-mean
v0.2.2
Published
Compute an arithmetic mean incrementally.
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incrmean
Compute an arithmetic mean incrementally.
The arithmetic mean is defined as
Installation
npm install @stdlib/stats-incr-mean
Usage
var incrmean = require( '@stdlib/stats-incr-mean' );
incrmean()
Returns an accumulator function
which incrementally computes an arithmetic mean.
var accumulator = incrmean();
accumulator( [x] )
If provided an input value x
, the accumulator function returns an updated mean. If not provided an input value x
, the accumulator function returns the current mean.
var accumulator = incrmean();
var mu = accumulator( 2.0 );
// returns 2.0
mu = accumulator( 1.0 );
// returns 1.5
mu = accumulator( 3.0 );
// returns 2.0
mu = accumulator();
// returns 2.0
Notes
- Input values are not type checked. If provided
NaN
or a value which, when used in computations, results inNaN
, the accumulated value isNaN
for all future invocations. If non-numeric inputs are possible, you are advised to type check and handle accordingly before passing the value to the accumulator function.
Examples
var randu = require( '@stdlib/random-base-randu' );
var incrmean = require( '@stdlib/stats-incr-mean' );
var accumulator;
var v;
var i;
// Initialize an accumulator:
accumulator = incrmean();
// For each simulated datum, update the mean...
for ( i = 0; i < 100; i++ ) {
v = randu() * 100.0;
accumulator( v );
}
console.log( accumulator() );
See Also
@stdlib/stats-incr/midrange
: compute a mid-range incrementally.@stdlib/stats-incr/mmean
: compute a moving arithmetic mean incrementally.@stdlib/stats-incr/stdev
: compute a corrected sample standard deviation incrementally.@stdlib/stats-incr/sum
: compute a sum incrementally.@stdlib/stats-incr/summary
: compute a statistical summary incrementally.@stdlib/stats-incr/variance
: compute an unbiased sample variance incrementally.
Notice
This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.