R and Matlab are two high-level scientific programming languages which are frequently applied in computational biology. To extend the wide variety of available and approved implementations, we present the Rcall interface which runs in MATLAB and provides direct access to methods and software packages implemented in R. Rcall involves passing the relevant data to R, executing the specified R commands and forwarding the results to MATLAB for further use. The evaluation and conversion of the basic data types in R and MATLAB are provided. Due to the easy embedding of R facilities, Rcall greatly extends the functionality of the MATLAB programming language.

Rcall is implemented in MATLAB and Octave and runs on Linux, Windows and macOS.

or

git clone https://github.com/kreutz-lab/Rcall.git

or

github install kreutz-lab/Rcall

Add the repository file path to your Matlab search path by addpath.m or by Home -> Set Path -> Add Folder.

To demonstrate the easy use of Rcall, here is a small example. First, Rcall is initialized by defining the R path, R libraries and the R libraries path. The variables are passed to R by the 'Rpush' command. R commands are defined by the 'Rrun' command. Within the 'Rpull' command the R code is executed and the defined variables are load in the Matlab workspace. For error prouning, make sure the R packages are properly installed or installed beforehand.

Rinit('limma')
load('TestData.mat')
Rpush('dat',dat,'grp',grp) 
Rrun('fit <- lmFit(dat,grp)') 
fit = Rpull('fit');
Rclear

For explanation of the input variables, the Rcall implementation and more application examples, see the Rcall wiki.

BSD 3-Clause License

Copyright (c) 2022, Janine Egert and Clemens Kreutz All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Clemens Kreutz and Janine Egert

Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center – University of Freiburg, Germany

https://www.uniklinik-freiburg.de/imbi-en/msb.html ckreutz at imbi.uni-freiburg.de egert at imbi.uni-freiburg.de