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This guide is ideal if youíre a professional, manager, or student who wants practical knowledge of analyzing data, without having to get a PhD in statistics. Itís also good for people who have a PhD in statistics, but may not know how to write programs that apply statistical methods to real data.
Discover how to apply the R language to data analysis through active learning and hands-on demonstration. Youíll learn how to use R libraries that useful and reliable for data analysis, and how they can save you time and stress.
- Learn from a PhD-level statistician who develops and leads R courses
- Start analyzing data with R, rather than absorb academic statistics concepts
- Run more powerful analyses and make better-looking graphs
- Spend less time coding, with ggplot2, plyr, reshape2, and lubridate
- Learn how to make decisions during a data analysis
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Publisher: O'Reilly Media
Page Count (est.): 300
Pub Date: 6/15/2014