[−][src]Crate linreg
Linear regression
linreg
calculates linear regressions for two dimensional measurements, also known as
simple linear regression.
Base for all calculations of linear regression is the simple model found in https://en.wikipedia.org/wiki/Ordinary_least_squares#Simple_linear_regression_model.
Example use
use linreg::{linear_regression, linear_regression_of}; // Example 1: x and y values stored in two different vectors let xs: Vec<f64> = vec![1.0, 2.0, 3.0, 4.0, 5.0]; let ys: Vec<f64> = vec![2.0, 4.0, 5.0, 4.0, 5.0]; assert_eq!(Ok((0.6, 2.2)), linear_regression(&xs, &ys)); // Example 2: x and y values stored as tuples let tuples: Vec<(f32, f32)> = vec![(1.0, 2.0), (2.0, 4.0), (3.0, 5.0), (4.0, 4.0), (5.0, 5.0)]; assert_eq!(Ok((0.6, 2.2)), linear_regression_of(&tuples)); // Example 3: directly operating on integer (converted to float as required) let xs: Vec<u8> = vec![1, 2, 3, 4, 5]; let ys: Vec<u8> = vec![2, 4, 5, 4, 5]; assert_eq!(Ok((0.6, 2.2)), linear_regression(&xs, &ys));
Enums
Error | The kinds of errors that can occur when calculating a linear regression. |
Functions
lin_reg | Calculates a linear regression with a known mean. |
lin_reg_imprecise | Single-pass simple linear regression. |
linear_regression | Two-pass simple linear regression from slices. |
linear_regression_of | Two-pass linear regression from tuples. |