Abstract
This article explores the S-plus statistical computing environment in the context of an analysis of Duncan's occupational prestige data. The article highlights the modeling and graphics capabilities of S-plus and introduces basic programming concepts. In the course of the analysis, the authors develop functions for bootstrapping and kernel density estimation. In addition, they display some of the extensive interactive graphics capabilities of S-plus.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
