Beginning R: The Statistical Programming Language by Mark Gardener

Beginning R: The Statistical Programming Language



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Beginning R: The Statistical Programming Language Mark Gardener ebook
Page: 504
Publisher: Wrox Press, Inc.
ISBN: 9781118164303
Format: pdf


R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using Beginning R. Noting that the "mainstream is broad and deep," he says that most enterprise developers need to know one of the predominant programming languages, which he identifies as Java, C#, or PHP. To start, let's just make a blank map with none of our own data. But he argues that a But he argues that a number of "niche languages" are beginning to gain in popularity. Wayner lists the And we have written before at ReadWriteWeb about the increasing popularity of the open source statistical programming language R. Now that I have successfully convinced you that you want to use R to make your next map, I will show you how. The stats are understandably basic but they should be useful for beginning R users. } \setbeamercovered{again covered={\opaqueness<1->{25}}} \onslide<1-> R is a language and environment for statistical computing and graphics [\href{http://www.r-project.org/}{r-project.org}]\\~\\ \onslide<2-> R is a computer language that allows the user to program algorithms and use tools that have been programmed by others [Zuur et al. The first presentation \hspace{0.2em}?





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