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时间3天
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R介绍程序员培训课程和认证

R介绍程序员培训课程和认证

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R介绍程序员课程概述

R是用于统计数据操作和分析的脚本语言。 它受到AT&T开发的统计语言S的启发,并且大多与之兼容。 名字S很明显代表统计数据,是对AT&T开发的另一种编程语言的暗示,它的名称是单字母的.S后来被卖给了一家小公司,后者增加了一个GUI界面,并将结果命名为S-加。 R已经变得比S / S-Plus更受欢迎,因为它是免费的,因为越来越多的人为此付出了努力。 R有时被称为'GNU S.

R编程培训的目标

  • 广为人知的S统计语言的公共领域实施; R / S是专业统计人员的事实标准
  • 在大多数意义上可比的,并且往往优于商业产品
  • 可用于Windows,Mac, Linux的
  • 除了启用统计操作外,它还是一种通用编程语言,因此您可以自动分析并创建新功能
  • 面向对象和功能性的编程结构
  • 您的数据集会在会话之间保存,因此您不必每次都重新加载
  • 开放式软件性质意味着很容易从用户社区获得帮助,许多新功能都由用户贡献,其中许多是杰出的统计人员

R编程认证的先决条件

唯一真正的先决条件是你有一些编程经验; 你不必成为专家级的程序员,尽管专家也应该找到适合自己水平的材料。偶尔会有专门针对专业程序员的评论,关于面向对象的程序设计或者Python,但是这些评论不会做出处理那些只有适度的编程背景的人无法访问。

Course Outline Duration: 3 Days

  1. 概述
    • R的历史
    • 的优点和缺点
    • 下载和安装
    • 如何查找文档
  2. 简介
    • 使用R控制台
    • 获得帮助
    • 了解环境
    • 编写和执行脚本
    • 保存你的工作
  3. 安装软件包
    • 寻找资源
    • 安装资源
  4. 数据结构,变量
    • 变量和分配
    • 数据类型
    • 索引,子集
    • 查看数据和摘要
    • 命名约定
    • 对象
  5. 将数据导入R环境
    • 内置数据
    • 从结构化文本文件中读取数据
    • 使用ODBC读取数据
  6. 控制流
    • 真相测试
    • 分枝
    • 矢量化的计算
  7. 功能深度
    • 参数
    • 返回值
    • 可变范围
    • 异常处理
  8. 处理R中的日期
    • R中的日期和日期 - 时间类
    • 格式化建模日期
  9. 描述性统计
    • 连续的数据
    • 分类数据
  10. 推论统计
    • 双变量相关
    • T检验和非参数等价物
    • 卡方检验
    • 分配测试
    • 电源测试
  11. 小组由计算
    • 拆分应用组合策略
  12. 基本图形
    • R中的基本图形系统
    • 散点图,直方图,barcharts,框和胡须,dotplots
    • 标签,传说,标题,轴
    • 将图形导出为不同的格式
  13. 高级R图形:GGPlot2
    • 理解图形的语法
    • 快速绘图功能
    • 建立图形块
  14. 线性回归
    • 线性模型
    • 回归图
    • 混淆/互动中的回归
    • 从模型中评分新数据(预测)

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