euclidean_distance

correlation_distance

Use <code>calculate_distance()</code> instead.

Provides common functionality for the 'dynverse' packages.
'dynverse' is created to support the development, execution, and benchmarking of trajectory inference methods.
For more information, check out <https://dynverse.org>.

Robrecht Cannoodt

dynutils

Common Functionality for the 'dynverse' Packages

Wouter Saelens

euclidean_distance function

<dl><dt>x</dt>
<dd>A numeric matrix, dense or sparse.</dd>
<dt>y</dt>
<dd>(Optional) a numeric matrix, dense or sparse, with <code>nrow(x) == nrow(y)</code>.</dd></dl>

Arguments

These functions will be removed soon — euclidean_distance

<dl>

<dt>x</dt>
<dd>A numeric matrix, dense or sparse.</dd>


<dt>y</dt>
<dd>(Optional) a numeric matrix, dense or sparse, with <code>nrow(x) == nrow(y)</code>.</dd>

</dl>

euclidean_distance: These functions will be removed soon

Description

Usage

Arguments