Summary
Nowadays a graphical user interface (GUI) is popular because it is easy and intuitive to use. A character user interface (CUI) is, however, still important for providing access to the full power of the system. A CUI allows users to write statistical programs to perform complicated analyses that are not realized in the built-in functions of the system. In this article, therefore, we insist on the significance of a “mixed user interface” for utilizing both a GUI and a CUI together in a statistical system. We discuss the characteristics required for a mixed user interface, and describe its implementation in the statistical system Jasp (Java based statistical processor). Jasp is written in the Java language and adopts many recently developed computer technologies. We have designed the GUI and the CUI to be used independently, but able to be selected seamlessly and alternatively depending on the user’s purposes and levels of expertise with the system.
Similar content being viewed by others
References
Banfield, R. (1999), Rweb: Web-based statistical analysis, Journal of Statistical Software 4(1) (https://doi.org/www.stat.ucla.edu/journals/jss/).
Chambers, J.M. & Hastie, T.J. eds. (1992), Statistical Models in S, Pacific Grove: Wadsworth.
Data Description Inc. (2002), Data Desk, https://doi.org/www.datadesk.com/DataDesk/.
Gale, W.A., Hand, D.J. & Kelly, A.E. (1993), Statistical applications of artificial intelligence. Hand-book of Statistics 9: Computational Statistics, 535–576, Amsterdam: Elsevier North-Holland.
Härdle, W., Klinke, S. & Müller, M. (1999), XploRe — Learning Guide, Berlin: Springer (https://doi.org/www.xplore-stat.de/).
Liu, L.-M., Chan, K.-K., Montgomery, A.L. & Muller, M.E. (1995), A system-independent graphical user interface for statistical software, Computational Statistics & Data Analysis, 19(1), 23–44.
Nakano, J. (1998), Graphical user interface for statistical software using Internet, COMPSTAT 1998 Proceedings in Computational Statistics (Payne, R. & Green, P. eds.), 407–412, Heidelberg: Physica-Verlag.
Nakano, J., Fujiwara, T., Yamamoto, Y. & Kobayashi, I. (2000), A statistical package based on Pnuts, COMPSTAT 2000 Proceedings in Computational Statistics (Bethlehem, J.G. & van der Heijden, P.G.M. eds.), 361–366, Heidelberg: Physica-Verlag.
Oldford, R. W. (1998), The Quail project: A current overview, Computing Science and Statistics 30, 397–402 (https://doi.org/www.stats.uwaterloo.ca/~rwoldfor/research.html).
Ousterhout, J. K. (1998), Scripting: Higher Level Programming for the 21st Century, IEEE Computer 31(3), 23–30 (https://doi.org/tcl.activestate.com/doc/scripting.html).
Schmelzer, S., Kötter, T., Klinke, S. & Härdle, W. (1996), A new generation of a statistical computing environment on the Net, COMPSTAT 1996 Proceedings in Computational Statistics (Prat, A. ed.), 135–148, Heidelberg: Physica-Verlag.
SPSS Inc. (2002), SPSS, https://doi.org/www.spss.com/.
Tierney, L. (1990), LISP-STAT: An Object-Oriented Environment for Statistical Computing and Dynamic Graphics, New York: John Wiley & Sons.
Tomatsu, T. (2000), Pnuts, https://doi.org/javacenter.sun.co.jp/pnuts/.
White, K.J. (1997), SHAZAM — User’s Reference Manual Version 8.0, New York: McGraw-Hill (https://doi.org/shazam.econ.ubc.ca/).
Yamamoto, Y. & Nakano, J. (2000), A time series analysis system using visual operations, SFB 373 Discussion Paper No.32 (https://doi.org/sfb.wiwi.hu-berlin.de/).
Young, F. W. & Lubinsky, D. J. (1995), Guiding Data Analysts With Visual Statistical Strategies, Journal of Computational and Graphical Statistics 4(4), 229–250 (https://doi.org/forrest.psych.unc.edu/research/).
Acknowledgements
We are grateful to anonymous referees for their many constructive comments which greatly helped to improve our paper.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Yamamoto, Y., Nakano, J., Fujiwara, T. et al. A Mixed User Interface for a Statistical System. Computational Statistics 17, 379–393 (2002). https://doi.org/10.1007/s001800200114
Published:
Issue Date:
DOI: https://doi.org/10.1007/s001800200114