# Calculate Pairwise Distances

A common framework for calculating distance matrices.

An R package to calculate distances. This provide a common framework to calculate distances.
There are three main functions:

• `rdist` computes the pairwise distances between observations in one matrix and returns a `dist` object,
• `pdist` computes the pairwise distances between observations in one matrix and returns a `matrix`, and
• `cdist` computes the distances between observations in two matrices and returns a `matrix`.

All functions have an argument `metric` that can be used to specify the distance function. Available metrics are `"euclidean"`, `"minkowski"`, `"manhattan"`, `"maximum"`, `"canberra"`, `"angular"`, `"correlation"`, `"absolute_correlation"`, `"hamming"`, and `"jaccard"`. In addition the metric can be any function that takes two vectors as arguments and returns their distance. All predefined functions will return NA or NaN when one of the compared vectors contains NAs.

## Installation

To install the latest released version from CRAN:

``````install.packages("rdist")
``````

To install the latest development version from github:

``````install.packages("devtools")
devtools::install_github("blasern/rdist")
``````

## Development

If you find issues, please let me know. If you would like to contribute, please create a pull request.

# rdist 0.0.3

• Added `product_metric`
• Added `farthest_point_sampling`
• Added `is_distance_matrix` and `triangle_inequality` checks

# rdist 0.0.2

• Fixed bug in jaccard distance
• Fixed bug in euclidean distance
• Added labels to rdist output

# rdist 0.0.1

An R package to calculate distances. This provide a common framework to calculate distances.
There are three main functions:

• `rdist` computes the pairwise distances between observations in one matrix and returns a `dist` object,
• `pdist` computes the pairwise distances between observations in one matrix and returns a `matrix`, and
• `cdist` computes the distances between observations in two matrices and returns a `matrix`.

All functions have an argument `metric` that can be used to specify the distance function. Available metrics are `"euclidean"`, `"minkowski"`, `"manhattan"`, `"maximum"`, `"canberra"`, `"angular"`, `"correlation"`, `"absolute_correlation"`, `"hamming"`, and `"jaccard"`. All functions will return NA or NaN when one of the compared vectors contains NAs.

## Installation

To install the latest released version from CRAN:

``````install.packages("rdist")
``````

To install the latest development version from github:

``````install.packages("devtools")
devtools::install_github("blasern/rdist")
``````

## Development

If you find issues, please let me know. If you would like to contribute, please create a pull request.

# Reference manual

install.packages("rdist")

0.0.3 by Nello Blaser, a year ago

https://github.com/blasern/rdist

Report a bug at https://github.com/blasern/rdist/issues

Browse source code at https://github.com/cran/rdist

Authors: Nello Blaser [aut, cre]

Documentation:   PDF Manual