Software for data analysis: Programming with R by John Chambers

Software for data analysis: Programming with R



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


While a full-fledged data-analysis .. Data-analysis projects can be conducted without any programming skills or specialized software. 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. Data Management, Data Acquisition, and Knowledge Generation (25%). R is now my preferred software for data analysis. Need to run statistical calculations in your software application?? Maindonald and Braun, Data Analysis and Graphic using R If you want to learn higher level programming, I've gotten a lot out of Software for Data Analysis by John Chambers. I've been working my way through the Machine Learning for Hackers book from O'Reilly press (which really should be named R for Machine Learning), and just finished a small data analysis project in R. What is R (Language) R is an open-source (GPL) programming language for statistical computing and graphics, made after S and S-plus language. Here's a few advantages of R Software for data analysis: Programming with R. Use software tools such as Excel, Access, R, SAS, SPSS, SQL Server, Weka, Tableau, MapPoint, and PowerPoint to analyze data and present results. Retrieved from http://dx.doi.org/10.1007/978-0-387-75936-4 doi:10.1007/978-0-387-75936-4. It is the leading open source statistical and data analysis programming language, and is heating up! The S language was developed by AT & T laboratories in late 80′s. 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.