R #### 简单入门 -------- +-----------------------------------+-----------------------------------+ | 资料 | 简介 | +===================================+===================================+ | R in action (R语言实战) | 比较简短的入门书,值得一读 | +-----------------------------------+-----------------------------------+ | The Art of R Programming | 很不错,简单清楚,适合入门 | | (R语言编程艺术) | | +-----------------------------------+-----------------------------------+ | R Graphics Cookbook | R作图,主要是ggplot2 | +-----------------------------------+-----------------------------------+ | `r | 一些r包整理 | | packages `__ | | +-----------------------------------+-----------------------------------+ | `rdatamining | 资料较全的r数据分析教程 | | `__ | | +-----------------------------------+-----------------------------------+ 模块 ---- +-----------------------------------+-----------------------------------+ | 模块 | 用途 | +===================================+===================================+ | `reshape2 | 数据处理,变换格式,很漂亮的用法 | | `__ | | +-----------------------------------+-----------------------------------+ | dplyr | 数据统计,变换,dplyr拆出 | | | 来的函数跟sql一脉相承,旧版是plyr | +-----------------------------------+-----------------------------------+ | `ggv | 交互式画图,简单易学,强烈推荐 | | is `__ | | +-----------------------------------+-----------------------------------+ | ggplot2 | 画图,参数太多,用到再看 | | | 不迟,参考\ `Graphs `__ | +-----------------------------------+-----------------------------------+ | rattle | 数据挖掘、数据分析 | +-----------------------------------+-----------------------------------+ | rstudio | r 开发 ide | +-----------------------------------+-----------------------------------+ | lubridate | 时间计算,基础库 | +-----------------------------------+-----------------------------------+ | stringr | 字符串,基础库 | +-----------------------------------+-----------------------------------+ | sqldf | 数据查询 | +-----------------------------------+-----------------------------------+ | RMYSQL | 数据库 | +-----------------------------------+-----------------------------------+ | party | 决策树,参考\ `R and Data | | | Mining `__\ ,\ `Tree-Based | | | Models `__ | +-----------------------------------+-----------------------------------+ | rpart | 决策树,参考\ `R and Data | | | Mining `__\ ,\ `Tree-Based | | | Models `__ | +-----------------------------------+-----------------------------------+ | randomForest | 随机森林,参考\ `R and Data | | | Mining `__\ ,\ `Tree-Based | | | Models `__ | +-----------------------------------+-----------------------------------+ | lm 函数 | 线性回归,参考\ `R and Data | | | Mining `__ | +-----------------------------------+-----------------------------------+ | glm 函数 | 指定 family = “binomial” | | | 即为逻辑回归,参考\ `R and Data | | | Mining `__ | +-----------------------------------+-----------------------------------+ 资料 ---- +-----------------------------------+-----------------------------------+ | 资料 | 备注 | +===================================+===================================+ | R intro (R导论) | 基本介绍 | +-----------------------------------+-----------------------------------+ | `Cookbook for | 基础示例,写的很好 | | R `__ | | +-----------------------------------+-----------------------------------+ | `One Page | 使用示例,简单明了 | | R < | | | http://onepager.togaware.com/>`__ | | +-----------------------------------+-----------------------------------+ | `d | 时间处理 | | ate-formats-in-r `__ | | +-----------------------------------+-----------------------------------+ | `列联表分析 `__ | | +-----------------------------------+-----------------------------------+ | `主 | 主成分,变量的线性组合生成新 | | 成分分析 `__ | | +-----------------------------------+-----------------------------------+ | `因子分析-Exploratory Factor | 因子分析,因子的线性组合生成 | | Analysis in | 已有的“变量”,因子数<变量数,降维 | | R `__ | | +-----------------------------------+-----------------------------------+ | `Plot Weekly or Monthly Totals in | 通过 cut + ggplot 迅速画出 | | R | 按时段 week / month 统计图 | | `__ | | +-----------------------------------+-----------------------------------+ 书籍 ---- +-------------------+-------------------+-----------------------------+ | 时间 | 书籍 | 读后感 | +===================+===================+=============================+ | 2013 | 机器学习 | 推荐, | | | 实用案例解析 | 非常值得一读,行文不蔓不枝 | +-------------------+-------------------+-----------------------------+ | 2013 | R和 | 当小 | | | Ruby数据分析之旅 | 品文看就行了,2-3个小时左右 | +-------------------+-------------------+-----------------------------+ | 2012.12 | R Graphics | R作图,主要是ggplot2 | | | Cookbook | | +-------------------+-------------------+-----------------------------+ | 2012.02 | `R | | | | inferno `__ | | +-------------------+-------------------+-----------------------------+ | 2011.08 | R语言初学者指南者 | 比较薄,但还是晕,个 | | | | 人感觉小白入门还是换一本吧 | +-------------------+-------------------+-----------------------------+ | 2011.07 | R | 比较薄,当数据处理手册可以 | | | 语言数据操作(Data | | | | Manipulation with | | | | R) | | +-------------------+-------------------+-----------------------------+ | 2011.03 | R Cookbook | 手册书 | | | | ,还不错,用到的时候记得翻 | +-------------------+-------------------+-----------------------------+ | 2011.02 | 25 Recipes for | R Cookbook 缩减版,随便翻翻 | | | Getting Started | | | | with R | | +-------------------+-------------------+-----------------------------+ | 2010 | R in a Nutshell | 手册书,值得细看 | +-------------------+-------------------+-----------------------------+ | 2010 | Data Mining with | | | | Rattle and R | | +-------------------+-------------------+-----------------------------+ | 2008 | 153分钟学会R | 很不错的入门FAQ | +-------------------+-------------------+-----------------------------+ | 2007 | The R book | | +-------------------+-------------------+-----------------------------+ | 2006 | 统计建模与R软件 | | +-------------------+-------------------+-----------------------------+ | 2006 | r for beginners | 比 | | | | 较简短,方便做语法入门手册 | +-------------------+-------------------+-----------------------------+ | 2002 | Simple R | | +-------------------+-------------------+-----------------------------+