CircStat: a MATLAB toolbox for circular statistics. Directional data is ubiquitious in science. Due to its circular nature such data cannot be analyzed with commonly used statistical techniques. Despite the rapid development of specialized methods for directional statistics over the last fifty years, there is only little software available that makes such methods easy to use for practioners. Most importantly, one of the most commonly used programming languages in biosciences, MATLAB, is currently not supporting directional statistics. To remedy this situation, we have implemented the CircStat toolbox for MATLAB which provides methods for the descriptive and inferential statistical analysis of directional data. We cover the statistical background of the available methods and describe how to apply them to data. Finally, we analyze a dataset from neurophysiology to demonstrate the capabilities of the CircStat toolbox.
Keywords for this software
References in zbMATH (referenced in 6 articles , 1 standard article )
Showing results 1 to 6 of 6.
- Lombard, F.; Hawkins, Douglas M.; Potgieter, Cornelis J.: Sequential rank CUSUM charts for angular data (2017)
- Warrens, Matthijs J.; Pratiwi, Bunga C.: Kappa coefficients for circular classifications (2016)
- Mehmood, Rashid; Riaz, Muhammad; Does, Ronald J. M. M.: Efficient power computation for $r$ out of $m$ runs rules schemes (2013)
- Di Marzio, Marco; Panzera, Agnese; Taylor, Charles C.: Kernel density estimation on the torus (2011)
- Penev, Spiridon; Ruderman, Avraham: On the behaviour of tests based on sample spacings for moderate samples (2011)
- Philipp Berens: CircStat: A MATLAB Toolbox for Circular Statistics (2009)