R是用于统计计算，数据分析和图形的开源免费编程语言。 R被企业和学术界内越来越多的管理人员和数据分析人员所使用。 R有各种各样的数据挖掘软件包。
引言和序言
- 使 R 更友好，R 和可用的 GUI
- 雷工作室
- 相关软体和文件
- R 和统计资讯
- 以交互方式使用 R
- 介绍性会议
- 获取有关功能和特性的说明
- R 命令、区分大小写等。
- 调用和更正以前的命令
- 从档案执行命令或将输出转移到档中
- 数据持久性和删除物件
简单的操作;数位和向量
- 向量和赋值
- 向量算术
- 生成常规序列
- 逻辑向量
- 缺失值
- 字元向量
- 索引向量;选择和修改数据集的子集
- 其他类型的物件
对象、它们的模式和属性
- 内在属性：模式和长度
- 更改物件的长度
- 获取和设置属性
- 物件的类
阵列和矩阵
- 阵 列
- 阵列索引。阵列的子节
- 索引矩阵
- array（） 函数
- 两个阵列的外积
- 阵列的广义转置
- Matrix 设施
- Matrix 乘法
- 线性方程和反演
- 特征值和特征向量
- 奇异值分解和行列式
- 最小二乘拟合和 QR 分解
- 形成分区矩阵 cbind（） 和 rbind（）
- 包含阵列的串联函数 （）
- 因数的频率表
清单和数据框
- 清单
- 构建和修改清单
- 连接清单
- 数据帧
- 制作数据框
- attach（） 和 detach（）
- 使用数据框
- 附加任意清单
- 管理搜寻路径
数据操作
- 选择、子集化观测值和变数
- 筛选、分组
- 重新编码、转换
- 聚合，组合数据集
- 字元操作、stringr 包
读取数据
- Txt 档
- CSV 档
- XLS、XLSX 档
- SPSS， SAS， Stata,...和其他格式数据
- 将数据汇出为 txt、csv 和其他格式
- Access使用 SQL 语言从资料库获取数据
概率分布
- R 作为一组统计表
- 检查一组数据的分布
- 单样本和双样本检测
分组、循环和条件执行
- 分组表达式
- 控制语句
- 条件执行：if 语句
- 重复执行：for 回圈、repeat 和 while
编写自己的函数
- 简单示例
- 定义新的二元运算符
- 命名参数和预设值
- “...”论点
- 函数内的赋值
- 更高级的范例
- 模组设计中的效率系数
- 删除列印阵列中的所有名称
- 递归数值积分
- 范围
- 自定义环境
- 类、泛型函数和面向物件
图形过程
- 高级绘图命令
- plot（） 函数
- 显示多变数数据
- 显示图形
- 高级绘图函数的参数
- 基本可视化图表
- 使用 lattice 和 ggplot 包的多元关系
- 使用图形参数
- 图形参数清单
时间序列 Forecasting
- 季节性调整
- 移动平均线
- 指数平滑
- 外推法
- 线性预测
- 趋势估计
- 平稳性和 ARIMA 建模
计量经济学方法（随意方法）
- 回归分析
- 多元线性回归
- 多元非线性回归
- 回归验证
- Forecasting 来自回归
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