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Software for data analysis: Programming with R John Chambers
Publisher: Springer

Data-analysis projects can be conducted without any programming skills or specialized software. Of software and services related to enterprise implementations of the open source language R. Statistical software are specialized computer programs for statistical analysis. John Chambers has been the principal designer of the S language since its beginning, and in 1999 received the ACM System Software award for S, the only statistical software to receive this award. Launching a data-analysis program is challenged in equal parts by organizational and technical considerations, and while libraries have recognized for years the importance of using data to drive decision-making, translating this recognized need to the day-to-day operations of the library can be daunting. Ferguson, who also works with other data-analysis software from SAS Institute and I.B.M., and R, an open-source statistical programming language. At its base level, R is a programming language built by statisticians for statistical analysis, data mining and predictive analytics. While a full-fledged data-analysis .. €�It's remarkably good at detecting patterns and presenting them,” said Dr. ADaMSoft – a generalized statistical software with Data mining algorithms and methods for data management. Reference to the M language · The pocket guide to MUMPS · MUMPS by Example · R Introduction; Richard Walters, “M Programming, A Comprehensive Guide”, Elsevier Digital Press, 1997; John M. R has a built-in object-oriented model, while M has a flexible data model. How developers combine the M and R programming languages to get a powerful open source statistical package.