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https://github.com/gdkrmr/dimRed

A Framework for Dimensionality Reduction in R
https://github.com/gdkrmr/dimRed

dimensionality-reduction framework high-dimensional-data manifold-learning quality-control r visualization

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A Framework for Dimensionality Reduction in R

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README

        

# dimRed

[![docs](https://img.shields.io/badge/docs-dev-blue.svg)](https://dimred.guido-kraemer.com)
[![R](https://github.com/gdkrmr/dimRed/actions/workflows/r.yml/badge.svg)](https://github.com/gdkrmr/dimRed/actions/workflows/r.yml)
[![codecov](https://codecov.io/gh/gdkrmr/dimRed/branch/master/graph/badge.svg?token=voiiWocTst)](https://codecov.io/gh/gdkrmr/dimRed)
[![CRAN\_Status\_Badge](https://www.r-pkg.org/badges/version/dimRed)](https://cran.r-project.org/package=dimRed)
[![DOI](https://zenodo.org/badge/70895041.svg)](https://zenodo.org/badge/latestdoi/70895041)

A Framework for Dimensionality Reduction for the R language.

A collection of dimensionality reduction
techniques from R packages and provides a common
interface for calling the methods.

## Installing
Install the latest development version from Github:
```R
## install.packages("devtools")
devtools::install_github("gdkrmr/dimRed")
```

Install the latest stable version from CRAN:
```R
install.packages("dimRed")
```

Load it:
```R
library(dimRed)
```

Install dependencies:
```R
## To install all dependencies:
dimRed::installSuggests()
```

## Citing
The corresponding publication can be found
[here](https://journal.r-project.org/archive/2018/RJ-2018-039/index.html "dimRed
and coRanking - Unifying Dimensionality Reduction in R"), please cite if you use
`dimRed`:

```bibtex
@article{RJ-2018-039,
author = {Guido Kraemer and Markus Reichstein and Miguel D. Mahecha},
title = {{dimRed and coRanking---Unifying Dimensionality Reduction in R}},
year = {2018},
journal = {{The R Journal}},
url = {https://journal.r-project.org/archive/2018/RJ-2018-039/index.html},
pages = {342--358},
volume = {10},
number = {1}
}
```