Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
Zur Ablage hinzufügen
  Lokale TagsFreigabegeschichteDetailsÜbersicht

Freigegeben
Zeitschriftenartikel

CircStat: A Matlab Toolbox for Circular Statistics

MPG-Autoren
/persons/resource/persons83801

Berens,  P
Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

Externe Ressourcen

https://www.jstatsoft.org/article/view/v031i10
(Verlagsversion)

Volltexte (beschränkter Zugriff)
Für Ihren IP-Bereich sind aktuell keine Volltexte freigegeben.
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte in PuRe verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Berens, P. (2009). CircStat: A Matlab Toolbox for Circular Statistics. Journal of statistical software, 31(10), 1-21. doi:10.18637/jss.v031.i10.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0013-C2DE-5
Zusammenfassung
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 engineering and 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.