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r's Introduction

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  • 【chapter one】1基础
    • 安装R包的方法
    • 字符串函数详解
    • r并行化基础及提高
  • 【chapter two】2清洗
    • 数据读取和存储
    • 数据预处理及概览
    • 数据的描述性统计分析及探索性统计分析
  • 【chapter three】3绘图
    • ggpl
    • ggplot2绘图详解
    • echart绘图详解
    • 交互式热力图
  • 【chapter four】4传统数据分析
    • 传统数据分析方法的一个整体过程，事实上并未分类整理到各版块，相反的，是将各板块的内容部分整合到了一起。
  • 【chapter five】5数据库
    • r同mysql连接使用
    • r与数据库连接使用的完整教程
  • 【chapter six】6多元统计
    • 参数估计和假设检验
    • 方差分析和协方差分析
    • 回归分析
    • 主成分分析和因子分析
    • 典型相关分析和对应分析
    • 判别分析和聚类分析
    • 时间序列分析
    • logistic回归分析和贝叶斯回归预测
  • 【chapter seven】7SHINY交互
    • shiny网页交互的实现
  • 【chapter eight】8机器学习
    • 关联规则分析
    • 聚类分析
    • 判别分析
    • 决策树分析
    • 随机森林模型
    • 支持向量机
    • 神经网络
    • 横截面数据回归
    • 横截面数据分类
    • 模特卡洛模拟法
    • 模型的评估与选择及提高机器学习的准确率
    • 异常值处理和错误控制

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