Merge b687fd4e6b3b3828de3700f4cd9d042b1351df05 into 7d0978e5fba98538de20d0fdb9d66e6cbf80d3f7

docs/src/compute.md

@@ -70,77 +70,6 @@ assert!((corr - 1.0).abs() < 1e-8);
 assert!((cov - 2.5).abs() < 1e-8);
 ```
 
-## Covariance
-
-### `covariance`
-
-Computes the population covariance between two equally sized matrices by flattening
-their values.
-
-```rust
-# extern crate rustframe;
-use rustframe::compute::stats::covariance;
-use rustframe::matrix::Matrix;
-
-let x = Matrix::from_vec(vec![1.0, 2.0, 3.0, 4.0], 2, 2);
-let y = Matrix::from_vec(vec![2.0, 4.0, 6.0, 8.0], 2, 2);
-let cov = covariance(&x, &y);
-assert!((cov - 2.5).abs() < 1e-8);
-```
-
-### `covariance_vertical`
-
-Evaluates covariance between columns (i.e. across rows) and returns a matrix of
-column pair covariances.
-
-```rust
-# extern crate rustframe;
-use rustframe::compute::stats::covariance_vertical;
-use rustframe::matrix::Matrix;
-
-let m = Matrix::from_rows_vec(vec![1.0, 2.0, 3.0, 4.0], 2, 2);
-let cov = covariance_vertical(&m);
-assert_eq!(cov.shape(), (2, 2));
-assert!(cov.data().iter().all(|&v| (v - 1.0).abs() < 1e-8));
-```
-
-### `covariance_horizontal`
-
-Computes covariance between rows (i.e. across columns) returning a matrix that
-describes how each pair of rows varies together.
-
-```rust
-# extern crate rustframe;
-use rustframe::compute::stats::covariance_horizontal;
-use rustframe::matrix::Matrix;
-
-let m = Matrix::from_rows_vec(vec![1.0, 2.0, 3.0, 4.0], 2, 2);
-let cov = covariance_horizontal(&m);
-assert_eq!(cov.shape(), (2, 2));
-assert!(cov.data().iter().all(|&v| (v - 0.25).abs() < 1e-8));
-```
-
-### `covariance_matrix`
-
-Builds a covariance matrix either between columns (`Axis::Col`) or rows
-(`Axis::Row`). Each entry represents how two series co-vary.
-
-```rust
-# extern crate rustframe;
-use rustframe::compute::stats::covariance_matrix;
-use rustframe::matrix::{Axis, Matrix};
-
-let data = Matrix::from_rows_vec(vec![1.0, 2.0, 3.0, 4.0], 2, 2);
-
-// Covariance between columns
-let cov_cols = covariance_matrix(&data, Axis::Col);
-assert!((cov_cols.get(0, 0) - 2.0).abs() < 1e-8);
-
-// Covariance between rows
-let cov_rows = covariance_matrix(&data, Axis::Row);
-assert!((cov_rows.get(0, 1) + 0.5).abs() < 1e-8);
-```
-
 ## Distributions
 
 Probability distribution helpers are available for common PDFs and CDFs.