The R Book 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Michael J. Crawley 作者

Wiley

译者

2007-6-19 出版日期

950 页数

CAD 167.54 价格

Hardcover

丛书系列

9780470510247 图书编码

The R Book 在线电子书图书标签: R 统计 Statistics R语言编程工具书 R. @暨图

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The R Book 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

The R Book 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

The R Book 在线电子书用户评价

评分☆☆☆☆☆

电子版真心实惠，R语言的必备砖头，希望这辈子别再用R语言，哈哈

评分☆☆☆☆☆

学习R的经典教材，老师推荐的书。如果对于初学者，这本书可能过早的进入了统计分析的部分，选择性的阅读跟自己切合的部分应该更好。我只看了语法介绍和几个案例，遇到不懂的就Google.

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就是handbook，统计方向，以生统为主

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电子版真心实惠，R语言的必备砖头，希望这辈子别再用R语言，哈哈

评分☆☆☆☆☆

The R Book 在线电子书著者简介

The R Book 在线电子书图书目录

The R Book 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

The R Book 在线电子书图书描述

The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging from simple regression to time series or multivariate analysis.

Building on the success of the author’s bestselling Statistics: An Introduction using R, The R Book is packed with worked examples, providing an all inclusive guide to R, ideal for novice and more accomplished users alike. The book assumes no background in statistics or computing and introduces the advantages of the R environment, detailing its applications in a wide range of disciplines.

* Provides the first comprehensive reference manual for the R language, including practical guidance and full coverage of the graphics facilities.

* Introduces all the statistical models covered by R, beginning with simple classical tests such as chi-square and t-test.

* Proceeds to examine more advance methods, from regression and analysis of variance, through to generalized linear models, generalized mixed models, time series, spatial statistics, multivariate statistics and much more.

The R Book is aimed at undergraduates, postgraduates and professionals in science, engineering and medicine. It is also ideal for students and professionals in statistics, economics, geography and the social sciences.

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