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Treffer: Enhancing dynamic graphical analysis with the Lisp-Stat language and the ViSta statistical program

Title:
Enhancing dynamic graphical analysis with the Lisp-Stat language and the ViSta statistical program
Source:
Behavior research methods. 37(4):684-690
Publisher Information:
Austin, TX: Psychonomic Society, 2005.
Publication Year:
2005
Physical Description:
print, 13 ref
Original Material:
INIST-CNRS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Universidad Nacional de Mar del Plata, Mar del Plata, Argentina
Universitat de València, València, Spain
University of North Carolina, Chapel Hill, North Carolina, United States
ISSN:
1554-351X
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Psychology. Ethology

FRANCIS
Accession Number:
edscal.17646827
Database:
PASCAL Archive

Weitere Informationen

Presented is a sample of computerized methods aimed at multidimensional scaling and psychometric item analysis that offer a dynamic graphical interface to execute analyses and help visualise the results. These methods show how the Usp-Stat programming language and the ViSta statistical program can be jointly applied to develop powerful computer applications that enhance dynamic graphical analysis methods. The feasibility of this combined strategy relies on two main features: (1) The programming architecture of ViSta enables users to add new statistical methods as plug-ins, which are integrated into the program environment and can make use of all the functions already available in ViSta (e.g., data manipulation, editing, printing); and (2) the set of powerful statistical and graphical functions integrated into the Usp-Stat programming language provides the means for developing statistical methods with dynamic graphical visualizations, which can be implemented as ViSta plug-ins.