Statistical Computing Environments for Social Research

The nature of statistics has changed from classical notions of hypothesis testing towards graphical and exploratory data analysis which exploits the flexibility of interactive computing and graphical displays. This book describes seven statistical computing environments - APL2STAT GAUSS Lisp-Stat Mathematica S SAS//IML and Stata - which can be used effectively in graphical and exploratory modeling.</p><p></p><p>These statistical computing environments in contrast to standard statistical packages provide programming tools for building other statistical applications. Programmability flexible data structures and - in the case of some of the computing environments - graphical interfaces and object-oriented programming permit res