R in Action - Robert I. Kabacoff

R in Action

Robert I. Kabacoff

出版时间

2011-08-27

ISBN

9781935182399

评分

★★★★★
书籍介绍
The ability to interpret and act on the massive amounts of information locked in web and enterprise systems is critical to success in the modern business economy. R, a free software environment for statistical computing and graphics, is a comprehensive package that empowers developers and analysts to capture, process, and respond intelligently to statistical information. R in Action is the first book to present both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, and then moves on to various examples illustrating R's features. Coverage includes data mining methodologies, approaches to messy data, R's extensive graphical environment, useful add-on modules, and how to interface R with other software platforms and data management systems.
AI导读
核心看点
  • R语言实战指南,涵盖数据管理与可视化
  • 从基础语法到高级统计建模,案例翔实
  • 侧重统计应用而非底层编程,实用性强
适合谁读
  • 数据分析初学者及统计研究人员
  • 希望提升数据处理能力的业务人员
  • 需掌握R语言绘图与基础操作的学习者
读前提醒
  • 建议配合官网配套资源同步练习代码
  • 统计章节需一定数学基础,可酌情跳过
  • 若熟悉Tidyverse,可重点参考基础部分
读者共识
  • R语言入门经典,思路清晰,强烈推荐
  • 字字珠玑,实战经验丰富,即学即用
  • 适合现查现用,作为工具书常备手边

本导读基于书籍简介、目录、原文摘录、短评和书评生成,不等同于全文精读。

精彩摘录
  • "> states <- state.x77[,1:6] > cor(states) Population Income Illiteracy Life Exp Murder HS Grad Population 1.0000 0.208 0.108 -0.0681 0.344 -0.0985 Income 0.2082 1.000 -0.437 0.3403 -0.230 0.6199 Illiteracy 0.1076 -0.437 1.000 -0.5885 0.703 -0.6572 Life Exp -0.0681 0.340 -0.588 1.0000 -0.781 0.5822 M"
  • "setwd("D:/r") 设置当前工作目录 getwd() 显示当前工作目录 ls()显示当前加载的数据对象有哪些 rm() 删除一部分对象 硬盘小或对象太复杂的话。。。 history() savehistory() loadhistory() save.image("MyFile") 你每次q()退出的时候都会问你 默认是 .RData文件 这两个是最实用的 save(cars,file="RCars") load("RCars") 可以单独保存一些比较重要的对象文件 # 全部保存 save(list =ls(all=TRUE), file=".RData")"
  • "pdf() png() jpeg() bmp()"
  • "dim1 <- c("A1","A2") dim2 <- c("B1","B2","B3") dim3 <- c("C1","C2","C3","C4") z <- array(1:24,c(2,3,4), dimnames=list(dim1,dim2,dim3)) z[1,2,3]"
  • "名义型变量和有序型变量在R中成为因子(Factor)。因子在R中非常重要,因为他决定了数据的分析方式以及如何进行视觉呈现。"
  • "status_factor_order <- factor(status, order=TRUE, levels=c("Poor","Improved","Excellent"))"
  • "mylist <- list(title=g,ages=age,j)"
  • "mylist[["ages"]][1:2]"
用户评论
思路清晰,进度安排合理。强烈推荐入门进阶用。
学习R最佳入门书,深入浅出,案例翔实,每章都有很多代码示例,还有个配套网站: http://www.statmethods.net/
必备工具书
循环竟然能如此慢,我果然不太适合用R &gt;_&lt;...
读到后面要读哭了 ANOVA,resampling statistics and bootstrapping啥的 信息量好大 还是先补数学吧TT
曾经的案头必备
One of textbooks for Darcy's course "Data Programming with R". Useful tool book for beginners without experience in data, and needs to be read in deeper exploration in the future.
工具好书,基础部分配合Coursera R Programming课讲解不错
R 不仅仅是统计工具 更有超棒的开源资源
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