Enhancing dynamic graphical analysis with the Lisp-Stat language and the ViSta statistical program.
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 visualize the results. These methods show how the Lisp-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 Lisp-Stat programming language provides the means for developing statistical methods with dynamic graphical visualizations, which can be implemented as ViSta plug-ins.
Ledesma
Rubén
R
Universidad Nacional de Mar del Plata, Mar del Plata, Argentina.
Molina
J Gabriel
JG
Young
Forrest W
FW
D003196:Computer Graphics; D006801:Humans; D007802:Language; D015233:Models, Statistical