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ROSES (R pythOn Statistical tEstS) is a package to use statistical tests from R to Python

Project description


ROSES (R pythOn Statistical tEstS) is a package to use statistical tests from R to Python for multiple algorithms in multiple problems.

This package was created due to differences in the precision from other Python packages for statistical tests. As R is a programming language with excellent libraries for statistical, ROSES was created as a bridge (parses) to use them.

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Install Python:

sudo apt install python3-dev python3-setuptools python3-tk python-dev

Install R:

sudo apt install r-base

To compile the R libraries:

sudo apt install gfortran libcurl4-openssl-dev

To install the following R libraries, otherwhise a warning will be handled:

install.packages("", repos=NULL)

If you received warnings to install the R libraries, try some the commands as follow:

sudo apt install  libevent-dev  libreadline-dev 
sudo apt install libudunits2-dev libgdal-dev libgeos-dev libproj-dev
sudo apt install libgmp3-dev libmpfr-dev


To download ROSE just clone the Git repository hosted in GitHub:

git clone
python install

Alternatively, you can install it with pip:

pip install roses


Examples of configuring and running all the included algorithms are located in the test folders roses folder.


The current release of ROSE (v0.5) contains the following tests:

  • Kruskal-Wallis with Post-hoc when necessary (comparing p-value)
  • Friedman with Critical Distance plot and Post-hoc when necessary (comparing p-value)
  • Varghas and Delaney (effect size)


This project is licensed under the terms of the MIT - see the LICENSE file for details.

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