|Genre||Handbooks, manuals, etc.|
|Contributions||Mathsoft, Inc. Data Analysis Products Division.|
|The Physical Object|
|Pagination||868 p. :|
|Number of Pages||868|
S-PLUS is a commercially-distributed implementation of the S programming language. It is developed, distributed, and supported by TIBCO Software Inc. S-PLUS is written and runs in the TIBCO Spotfire S+ statistical programming environment. Statisticians and researchers from a wide range of industries use S-PLUS to perform advanced statistical analysis on large data . Linton, O.B. and Nielsen, J.P. (). A kernel method of estimating structured nonparametric regression based on marginal integration. Biometrika, 82, pp. 93– MathSciNet zbMATH CrossRef Google ScholarCited by: 3. Programmer’s Guide Version March Data Analysis Products Division MathSoft, Inc. Seattle, Washington. ii Proprietary Calling C or Fortran Routines from S-Plus Calling C Calling Fortran Writing C and Fortran Routines Suitable for Use in S-Plus Handling IEEE Special Values Full text of "C Programmers Reference Guide" See other formats.
With the same insight and authority that made their book The Unix Programming Environment a classic, Brian Kernighan and Rob Pike have written The Practice of Programming to help make individual programmers more effective and productive. The practice of programming is more than just writing code. Programmers must also assess tradeoffs, choose among design 4/5(20). In this manual all commands are given in code boxes, where the R code is printed in black, the comment text in blue and the output generated by R in comments/explanations start with the standard comment sign ' # ' to prevent them from being interpreted by R as commands. This way the content in the code boxes can be pasted with their comment text into the R console to . This introduction to R is derived from an original set of notes describing the S and S-Plus environments written in –2 by Bill Venables and David M. Smith when at the University of Adelaide. We have made a number of small changes to reflect differences between the R and S programs, and expanded some of the material. : S-PLUS Programming Language and Applied Statistics: S-PLUS: Basics, Concepts, and Statistical Methods (): Samir Safi: Books.
R Programming for Data Science [PDF] 0. Data Science Book R Programming for Data Science containing some people associated with S and S-PLUS. Currently, the core group controls the source code for R and is solely able to check in changes to the main R source tree. Finally, in R version was released to the public. (Note earlier editions of this book were titled "Modern Applied Statistics with S-Plus.) Krause A and Olson M (). The Basics of S-PLUS (4th edition). Springer-Verlag, New York. Online material. Chambers JM (). Programing with Data: A Guide to the S Language. Springer-Verlag, New York. Online material. Venables WN and Ripley BD (). S. Adobe Photoshop 5 and User guide: Advanced Techniques in Word Perfect: Web Programming in Python: Apache Server Unleashed: dBase: SAS programmer's guide: SAS/STAT user's guide: vol Version 6: SAS/IML user's guide: Version 5: S-Plus 4 programmers guide: S-Plus 4 guide to Statistics: S-Plus 6 user's guide: S-Plus 6 user's. Statistics with R and S-Plus tutorial presented at the Third Workshop on Experimental Methods in Language Acquisition Research (EMLAR) Hugo Quen´e Utrecht institute of Linguistics OTS, Utrecht University @ 7 November Abstract This workshop will introduce the R programming environment for statistical File Size: KB.