Garrett Grolemund
RStudio的數據科學傢和高級培訓師,統計學傢,R軟件開發工程師,處理時間類數據的神器R包lubridate的開發者。Garrett在美國萊斯大學獲得博士學位,曾在Google、eBay等公司教授R相關培訓課程。
This guide is ideal if you're a professional, manager, or student who wants practical knowledge of analyzing data, without having to get a PhD in statistics. It's 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. You'll 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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R語言基礎,第六章Environments,第八章S3,第十章Speed(嚮量化)比較有幫助
评分第三部分有些高階內容涉及。如S3,代碼加速等。
评分給初級讀者瞭解語法,項目是賭博機和打撲剋,還挺有趣的,第六章環境、第八章S3和第十章Speed部分對於理解機製比較有幫助。
评分RStudio 首席科學傢哈德利·威科姆推薦。娓娓道來,新手友好,可快速過。
评分第三部分有些高階內容涉及。如S3,代碼加速等。
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