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R For Dummies

简体网页||繁体网页
Joris Meys 作者
For Dummies
译者
2012-6-25 出版日期
406 页数
USD 29.99 价格
Paperback
丛书系列
9781119962847 图书编码

R For Dummies 在线电子书 图书标签: R  数据分析  programming  计算机  英文版  学术  统计学  放下   


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R For Dummies 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

R For Dummies 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

R For Dummies 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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R For Dummies 在线电子书 图书描述

Master the programming language of choice among statisticians and data analysts worldwide Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful. Master your R ABCs get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables Put data in its place get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel Make data dance to your tune learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more Visualize it learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your data Get statistical find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t-tests Expand and customize R get the lowdown on how to find, install, and make the most of add-on packages created by the global R community for a wide variety of purposes Open the book and find: Help downloading, installing, and configuring R Tips for getting data in and out of R Ways to use data frames and lists to organize data How to manipulate and process data Advice on fitting regression models and ANOVA Helpful hints for working with graphics How to code in R What R mailing lists and forums can do for you

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