具體描述
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
著者簡介
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。
圖書目錄
讀後感
評分
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用戶評價
推薦給學生們的R語言入門書
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。 @2018-01-12 04:05:14
评分強烈推薦啊，把需要用到的函數編寫方法和循環語句融入到三個小項目當中，讓讀者有一種學以緻用的體會，深入淺齣，層層遞進，讓讀者對R語言編程有一個實用瞭解
评分裏麵的project很有趣
评分非常基礎，用來讓新手快速上手。
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