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Software for data analysis: Programming with R
Software for data analysis: Programming with R

Software for data analysis: Programming with R by John Chambers

Software for data analysis: Programming with R



Download Software for data analysis: Programming with R




Software for data analysis: Programming with R John Chambers ebook
Publisher: Springer
ISBN: 0387759352, 9780387759357
Page: 514
Format: pdf


R language is widely used among statisticians and data miners for developing statistical software and data analysis. The S language was developed by AT & T laboratories in late 80′s. We will now discuss how R is used for social analytics. What is R (Language) R is an open-source (GPL) programming language for statistical computing and graphics, made after S and S-plus language. Apply expert data management and data analysis to support the strategic planning and operational effectiveness of key fundraising programs. Taking advantage of R's powerful statistical and graphical capabilities, developers have created and contributed numerous Bioconductor packages to solve a variety of data analysis needs. Such as linear and non-linear modeling, classical statistical tests, time series analysis, classification, multivariate analysis etc., as it is an integrated suite of software having facilities for data manipulation, calculation and graphics display. Mining Community's Top Resource for Data Mining and Analytics Software, Jobs, Consulting, Courses, and more. The Bioconductor project [1,2] is an open source software project that provides a wide range of statistical tools primarily based on the R programming environment and language [3,4]. Advanced search help Improve the efficiency of the OUD Analytics team through the creation of standard programming libraries / R packages, algorithms, APIs, and documentation. Software for Data Analysis: Programming with R (Statistics and Computing). John Chambers turns his attention to R, the enormously successful open-source system based on the S language.

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