├── .gitignore ├── PPT ├── 第01讲 前言_R简介与如何学习R编程.pdf ├── 第02讲 搭建R环境与基本使用.pdf ├── 第03讲 数据结构I_向量矩阵多维数组.pdf ├── 第04讲 数据结构II_列表数据框.pdf ├── 第05讲 数据结构III_因子字符串日期时间.pdf ├── 第05讲(选讲) 数据结构IV_正则表达式时间序列.pdf ├── 第06讲 控制结构_分支循环.pdf ├── 第07讲 自定义函数_自带函数.pdf ├── 第08讲 数据读写_编码.pdf ├── 第09讲 数据连接.pdf ├── 第10讲 数据重塑.pdf ├── 第11讲 数据操作I_选择列修改列.pdf ├── 第12讲 数据操作II_筛选行分组操作.pdf ├── 第13讲 数据操作III_其它操作.pdf ├── 第14讲 数据处理神器data.table包.pdf ├── 第15讲 ggplot2绘图语法.pdf ├── 第16讲 ggplot2绘图实例.pdf ├── 第17讲 统计建模技术.pdf ├── 第18讲 描述性统计.pdf ├── 第19讲 参数估计.pdf ├── 第20讲 假设检验.pdf ├── 第21讲 回归分析.pdf ├── 第22讲 数据清洗_缺失值_异常值.pdf ├── 第23讲 特征工程_探索变量关系.pdf ├── 第24讲 R markdown_文档沟通.pdf ├── 第25讲 R与Latex,Git&Github交互.pdf ├── 第26讲 R Shiny_Web app.pdf ├── 第27讲 开发R包.pdf ├── 第28讲(附录) R6面向对象_错误调试.pdf ├── 第29讲(附录) Excel任务_非等连接_R爬虫.pdf └── 第30讲(附录) 高性能计算_R机器学习.pdf ├── README.md ├── data ├── 2019分省GDP.csv ├── 3-5月业绩.xlsx ├── China_map_all.rda ├── Deals.csv ├── ExamDatas.xlsx ├── ExamDatas_NAs.xlsx ├── Guerry.csv ├── Houses.csv ├── Renters.csv ├── VLOOKUP综合.xlsx ├── achieves │ ├── 3月.xlsx │ ├── 4月.xlsx │ └── 5月.xlsx ├── animals.rda ├── dat.Rda ├── ecostats.rda ├── family.rda ├── gap_data.rda ├── gapminder.rda ├── hljPops.csv ├── hyper.xlsx ├── movies_sample.rda ├── paypal.csv ├── penguins.csv ├── phone_call.rda ├── planes.rda ├── read_data │ ├── 六1班.txt │ ├── 六1班学生成绩.csv │ ├── 六1班学生成绩.xlsx │ ├── 六3班.txt │ ├── 六3班学生成绩.csv │ ├── 六3班学生成绩.xlsx │ ├── 六4班.txt │ ├── 六4班学生成绩.csv │ ├── 六4班学生成绩.xlsx │ ├── 六5班学生成绩.csv │ ├── 六5班学生成绩.xlsx │ └── 新建文件夹 │ │ ├── 六2班学生成绩.csv │ │ └── 六2班学生成绩.xlsx ├── stocks.rda ├── titanic.rds ├── weather.rda ├── website.csv ├── 六1班学生成绩.csv ├── 六3班学生成绩.csv ├── 六4班学生成绩.csv ├── 六5班学生成绩.csv ├── 分省年度GDP.csv ├── 十年一觉.txt ├── 历年累计票房.xlsx ├── 参赛队信息.csv ├── 学生成绩.xlsx ├── 数据透视表.xlsx └── 新建文件夹 │ └── 六2班学生成绩.csv ├── images ├── tidy-R-QQ.png ├── tidy-R-data-thinking.png ├── tidy-R-wechat.png ├── tidy-R2-QQ.png ├── 图0.1 混淆矩阵示意图.png ├── 图0.2 绘制ROC曲线.png ├── 图0.3 数据科学的位置.jpeg ├── 图0.4 数据科学的工作流程.png ├── 图0.5 TIOBE 最新编程语言排名.png ├── 图0.6 IEEE Spectrum 2021 年度编程语言排行榜.png ├── 图0.7 R 语言专家—Hadley Wickham.jpg ├── 图0.8 R 函数的帮助页面.png ├── 图1.1 R 4.2.2 软件界面.png ├── 图1.10 按频数排序的条形图.png ├── 图1.11 可视化股票数据.png ├── 图1.12 Viewer 窗口显示匹配效果.png ├── 图1.13 分支结构示意图.png ├── 图1.14 循环结构示意图.png ├── 图1.15 map()函数的作用机制.png ├── 图1.16 map2()函数作用机制.png ├── 图1.17 pmap()函数作用机制.png ├── 图1.2 RStudio 操作界面.png ├── 图1.3 为RStudio 设置国内镜像源.png ├── 图1.4 R Studio 设置code 编码.png ├── 图1.5 手动安装R 包.png ├── 图1.6 tidyverse 包的官方介绍页.png ├── 图1.7 创建R Project.png ├── 图1.8 因子的内在存储与外在表现.png ├── 图1.9 用因子控制条形顺序.png ├── 图2.1 tidyverse 优雅编程思维.png ├── 图2.10 数据库中数据表的关系结构.jpg ├── 图2.11 左连接示意图.png ├── 图2.12 右连接示意图.png ├── 图2.13 全连接示意图.png ├── 图2.14 内连接示意图.png ├── 图2.15 半连接示意图.png ├── 图2.16 反连接示意图.png ├── 图2.17 批量读取并做全连接（单独存放）.png ├── 图2.18 批量读取并做全连接.png ├── 图2.19 整洁数据的3 个特点.png ├── 图2.2 tidyverse 的核心包.png ├── 图2.20 across 函数示意图.png ├── 图2.21 if_any,if_all 函数筛选行示意图.png ├── 图2.22 slide 滑窗迭代示意图.png ├── 图2.23 自定义绘制散点图.png ├── 图2.24 data.table 包的最简语法.png ├── 图2.3 tidyverse 整洁工作流.jpg ├── 图2.4 批量读取的数据文件.png ├── 图2.5 包含多个sheet 的Excel 工作簿.png ├── 图2.6 在Navicat 中新建MySQL 连接.png ├── 图2.7 新建数据库的操作界面.png ├── 图2.8 几种中文编码及兼容性.jpg ├── 图2.9 用AkelPad 检测文件编码格式.png ├── 图3.1 ggplot2 绘图流程.png ├── 图3.10 手动设置坐标刻度和标签.png ├── 图3.11 手动设置离散变量坐标轴标签.png ├── 图3.12 用scales 包设置坐标轴的特殊格式标签.png ├── 图3.13 设置坐标轴标签、图例位置及标签.png ├── 图3.14 设置坐标轴范围.png ├── 图3.15 原始坐标下的图形.png ├── 图3.16 坐标变换后的图形.png ├── 图3.17 设置图形标题.png ├── 图3.18 设置图形标题居中.png ├── 图3.19 手动设置离散变量颜色并修改对应图例.png ├── 图3.2 空图形.png ├── 图3.20 使用调色板颜色设置离散变量颜色.png ├── 图3.21 使用渐变色设置连续变量颜色.png ├── 图3.22 使用调色板设置连续变量颜色.png ├── 图3.23 为图形添加文字标注.png ├── 图3.24 为图形添加文字注释.png ├── 图3.25 标注均值和标准差的小提琴图.png ├── 图3.26 三次样条光滑曲线.png ├── 图3.27 水平箱线图.png ├── 图3.28 风玫瑰图.png ├── 图3.29 堆叠条形图.png ├── 图3.3 简单的分组散点图.png ├── 图3.30 抖散图.png ├── 图3.31 图形排布.png ├── 图3.32 一个分类变量分面.png ├── 图3.33 两个分类变量分面.png ├── 图3.34 网格分面.png ├── 图3.35 选择主题.png ├── 图3.36 在ggplot 生成的图中使用中文字体.pdf ├── 图3.36 在ggplot 生成的图中使用中文字体.png ├── 图3.37 类别比较图.png ├── 图3.38 热图.png ├── 图3.39 数据关系图.png ├── 图3.4 手动设置颜色的散点图.png ├── 图3.40 网络关系图.png ├── 图3.41 数据分布图.png ├── 图3.42 人口金字塔图.png ├── 图3.43 时间序列图.png ├── 图3.44 折线图与面积图.png ├── 图3.45 局部整体图.png ├── 图3.46 饼图.png ├── 图3.47 用plotly 绘制动态可交互图形.png ├── 图3.48 用gganimate 绘制动态可视化图形.png ├── 图3.49 线性回归偏差图.png ├── 图3.5 带分组光滑曲线的散点图.png ├── 图3.50 线性回归残差图.png ├── 图3.51 10 折交叉验证示意图.png ├── 图3.52 嵌套数据框示例.png ├── 图3.53 探索Amazon 与Google 股票之间的关系.png ├── 图3.6 带全局光滑曲线的散点图.png ├── 图3.7 多组数据的不分组折线图.png ├── 图3.8 多组数据的分组折线图.png ├── 图3.9 图例与坐标轴的组件.pdf ├── 图4.1 不同均值标准差对应的正态分布.png ├── 图4.10 可视化Bootstrap 置信区间.png ├── 图4.11 广告费用与销售额的散点图.png ├── 图4.12 散点到拟合直线的距离.png ├── 图4.13 我国历年电影票房数据散点图.png ├── 图4.14 电影票房数据Logistic 曲线拟合效果.png ├── 图4.15 可视化该最大似然估计效果.png ├── 图4.16 双侧、左侧、右侧假设检验示意图.png ├── 图4.17 常用的假设检验汇总情况.png ├── 图4.18 用infer 包实现重排假设检验的一般流程.png ├── 图4.19 可视化重排假设检验P 值.png ├── 图4.2 常见的数据类型.png ├── 图4.20 线性回归示意图.png ├── 图4.21 残差分类图.png ├── 图4.21 直方图观察企鹅体重数据的分布.png ├── 图4.22 绘制回归诊断图.png ├── 图4.23 梯度下降法示意图.jpg ├── 图4.24 梯度下降法迭代收敛过程.png ├── 图4.3 数据的三种偏度.png ├── 图4.4 标记频率的水平条形图.png ├── 图4.5 克利夫兰点图.png ├── 图4.6 频数直方图添加概率密度曲线.png ├── 图4.7 箱线图.png ├── 图4.8 均值线与误差棒图.png ├── 图4.9 用infer 包实现Bootstrap 置信区间的一般流程.png ├── 图5.1 可视化数据框的缺失情况.png ├── 图5.10 用分组概率密度曲线对比组间数据分布.png ├── 图5.11 线性相关系数的直观展示.png ├── 图5.12 散点图矩阵.png ├── 图5.2 可视化变量的缺失情况.png ├── 图5.3 对比缺失与非缺失下的变量分布.png ├── 图5.4 决策树插补并可视化插补效果.png ├── 图5.5 样条插补时间序列数据.png ├── 图5.6 各变量异常值得分图.png ├── 图5.7 数据平滑处理.png ├── 图5.8 对数变换到正态数据.png ├── 图5.9 用复式条形图对比类间差异.png ├── 图6.1 在Markdown 中设置标题.png ├── 图6.10 在Markdown 中使用脚注.png ├── 图6.11 Rmd 文件的编译过程.png ├── 图6.12 新建R Markdown 实例.png ├── 图6.13 自带R markdown 模板.png ├── 图6.14 启用可视化Markdown 编辑器.png ├── 图6.15 自动生成三线表.png ├── 图6.16 将回归结果表导出到pdf 效果.png ├── 图6.17 导出到latex 文件的效果.png ├── 图6.18 在RStudio 中编写Latex 文件.png ├── 图6.19 从期刊模板新建Latex 文档.png ├── 图6.2 在Markdown 中设置无序列表.png ├── 图6.20 bookdown 书籍模板源文件.png ├── 图6.21 创建并查看RSA Key.png ├── 图6.22 Github 添加RSA Key.png ├── 图6.23 添加成功.png ├── 图6.24-1 复制Github 仓库地址.png ├── 图6.24-2 复制Github 仓库地址.png ├── 图6.25 新建带Git 版本控制的R 项目.png ├── 图6.26 创建与查看分支.png ├── 图6.27 Staged：暂存修改.png ├── 图6.28 Commit：提交.png ├── 图6.29 Push 步：提交并查看.png ├── 图6.3 在Markdown 中设置有序列表.png ├── 图6.30 Git 版本控制一般工作流程.png ├── 图6.31 查看Git 提交历史.png ├── 图6.32 创建R shiny.png ├── 图6.33 Shiny 常用控件面板.png ├── 图6.34 简单的Shiny 姓名交互.png ├── 图6.35 设计响应图.png ├── 图6.36 中心极限定理Shiny app 效果.png ├── 图6.37 数据展板Shiny app 交互图形页.png ├── 图6.38 数据展板Shiny app 数据交互页.png ├── 图6.39 R 包的源码文件.png ├── 图6.4 在Markdown 中设置引用与文字.png ├── 图6.40 文档化后的函数帮助页面.png ├── 图6.41 CRAN 检测结果汇总.png ├── 图6.42 从源码包到捆绑包.png ├── 图6.43 CRAN 提交包页面.png ├── 图6.5 在Markdown 中设置特定格式.png ├── 图6.6 在Markdown 中输入数学公式.png ├── 图6.7 高亮显示代码块.png ├── 图6.8 在Markdown 中绘制表格.png ├── 图6.9 在Markdown 中进行交叉引用.png ├── 图B.1 Excel 查询示例数据.png ├── 图B.2 Excel 透视表示例数据.png ├── 图D.1 用SelectGadget 识别网页元素.png ├── 图D.2 豆瓣读书Top250 爬虫数据（未清洗）.png ├── 图D.3 豆瓣读书Top250 数据（已清洗）.png ├── 图D.4 找到要爬取的内容.png ├── 图D.5 Headers 下General 信息.png ├── 图D.6 Headers下Request Headers信息.png ├── 图D.7 Payload下Request Payload信息.png ├── 图D.8 网易云课堂编程与开发类课程的爬虫结果.png ├── 图E.1 用disk.frame 分割后的数据集.png ├── 图E.2 大矩阵“分割-应用-合并”机制.png ├── 图F.1 mlr3verse 机器学习框架生态.png ├── 图F.2 mlr3verse 机器学习基本工作流.png ├── 图F.3 tidymodels 核心包及其功能.png ├── 图G.1 设置启动时从不保存历史数据.png ├── 图G.2 设置编辑器断点.png ├── 图G.3 R代码报错示意图.png ├── 图G.4 rlang包提供的报错与错误回溯.png ├── 图G.5 browser()调试模式及说明.png ├── 图G.6 debug()调试模式.png ├── 图G.7 设置自动启动调试模式.png ├── 补充：地理空间图.png ├── 补充：离散填充地图.png └── 补充：连续填充地图.png ├── introR.Rproj ├── pdf └── 张敬信-1393页-R语言编程：基于tidyverse-完整课件(带书签).pdf ├── 勘误.docx └── 配套数据+源代码.zip /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zhjx19/introR/HEAD/.gitignore -------------------------------------------------------------------------------- /PPT/第01讲 前言_R简介与如何学习R编程.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zhjx19/introR/HEAD/PPT/第01讲 前言_R简介与如何学习R编程.pdf -------------------------------------------------------------------------------- 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