regression-js is a JavaScript module containing a collection of linear least-squares fitting methods for simple data analysis.
InstallationThis module works on node and in the browser. It is available as the 'regression' package on npm. It is also available on a CDN.
npmnpm install --save regression
Usage
import regression from 'regression';
const result = regression.linear([[0, 1], [32, 67], [12, 79]]);
const gradient = result.equation[0];
const yIntercept = result.equation[1];
Data is passed into the model as an array. A second parameter can be used to configure the model. The configuration parameter is optional. null
values are ignored. The precision option will set the number of significant figures the output is rounded to.
Below are the default values for the configuration parameter.
Properties{
  order: 2,
  precision: 2,
}
equation
: an array containing the coefficients of the equationstring
: A string representation of the equationpoints
: an array containing the predicted data in the domain of the inputr2
: the coefficient of determination (R2)predict(x)
: This function will return the predicted valueregression.linear(data[, options])
Fits the input data to a straight line with the equation . It returns the coefficients in the form [m, c]
.
regression.exponential(data[, options])
Fits the input data to a exponential curve with the equation . It returns the coefficients in the form [a, b]
.
regression.logarithmic(data[, options])
Fits the input data to a logarithmic curve with the equation . It returns the coefficients in the form [a, b]
.
regression.power(data[, options])
Fits the input data to a power law curve with the equation . It returns the coefficients in the form [a, b]
.
regression.polynomial(data[, options])
Fits the input data to a polynomial curve with the equation . It returns the coefficients in the form [an..., a1, a0]
. The order can be configure with the order
option.
Developmentconst data = [[0,1],[32, 67] .... [12, 79]];
const result = regression.polynomial(data, { order: 3 });
npm install
dist
directory, use npm run build
npm run test
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