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Jingdong book

R语言初学者指南

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Books Computers & Internet Programming Language and Programming

Jingdong book

R语言初学者指南

Name: R语言初学者指南
Brand: Jingdong book
SKU: 3118144441
Price: 15.63 USD
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Content Description

《R语言初学者指南》讲述了R语言的基础知识，为了避免读者同时学习R与统计的困难，作者阿兰·F·祖尔、埃琳娜·N·耶诺、埃里克·H·W·G·密斯特将统计方法维持在*低限度。本书注重理论与实践相结合，在相关章节之后安排了习题。因此本书特别适合作为统计、经济、管理、生命科学等专业的本科生与研究生的教材或教学参考书，也可作为从事数据处理的研究人员的参考书籍。

Author Description

阿兰·F·祖尔，资深统计学家，担任英国的一家统计咨询有限公司Highland Statistics的董事长。他已经给5000多名生态学家讲授了统计，是英国阿伯丁大学生物科学学院海洋研究室荣誉研究员。

埃琳娜·N·耶诺，资深海洋生物学家，也是Highland Statistics有限公司的主管。曾经指导生态学数据分析和设计方向的博士生，是英国阿伯丁大学生物科学学院海洋研究室荣誉研究员。

埃里克·H·W·G·密斯特荷，兰海洋资源和生态系统研究院的研究员（IMARES），主要的研究方向是珊瑚礁生态学和应用统计学，并进行北海海底生物和封存生态学研究。

Catalogue

写在第3词重印之际

译者序

前言

致谢

第1章引言

1.1 什么是R？

1.2 下载和安装R

1.3 最初印象

1.4 脚本代码

1.4.1 编程的艺术

1.4.2 录入脚本代码

1.5 R的图形设备

1.6 编辑

1.7 帮助文件和新闻组

1.8 程序包

1.8.1 包含在底层安装的包

1.8.2 不包含在底层安装的包

1.9 R的一般问题

1.9.1 退出R和设置工作目录

1.10 历史和文献概述

1.10.1 R的一个简短历史回顾

1.10.2 有关R的书籍和使用R的书籍

1.11 使用这本书

1.11.1 如果你是一位教师

1.11.2 如果你是有一定R知识的感兴趣的读者

1.11.3 如果你是一个R专家

1.11.4 如果你比较害怕R

1.12 引用R和引用程序包

1.13 我们学习了哪些R函数？

第2章 R中的数据输入

2.1 R中的第1步

2.1.1 小型数据库中的数据录入

2.1.2 应用c函数连接数据

2.1.3 使用c，cbind和rbind结合变量

2.1.4 使用vector函数结合数据

2.1.5 使用矩阵结合数据

2.1.6 使用data.frame函数结合数据

2.1.7 使用list函数结合数据

2.2 数据的载入

2.2.1 Excel中的数据载入

2.2.2 从其它统计程序包中访问数据

2.2.3 访问数据库

2.3 我们学习了哪些R函数？

2.4 习题

第3章访问变量和处理数据子集

3.1 访问数据框变量

3.1.1 str函数

3.1.2 函数中的数据参数

3.1.3 $符号

3.1.4 attach函数

3.2 访问数据子集

3.2.1 数据排序

3.3 使用相同的标识符组合两个数据集

3.4 输出数据

3.5 重新编码分类变量

3.6 我们学习了哪些R函数？

3.7 习题

第4章简单的函数

4.1 tapply函数

4.1.1 计算每个时间截面的均值

4.1.2 更高效地计算每个时间截面的均值

4.2 sapply函数和lapply函数

4.3 summary函数

4.4 table函数

4.5 我们学习了哪些R函数？

4.6 习题

第5章基础绘图工具简介

5.1 plot函数

5.2 符号、颜色和尺寸

5.2.1 改变绘图字符

5.2.2 改变绘图符号的颜色

5.2.3 改变绘图符号的尺寸

5.3 添加一条平滑线

5.4 我们学习了哪些R函数？

5.5 习题

第6章循环与函数

6.1 循环简介

6.2 循环

6.2.1 像建筑师那样设计代码

6.2.2 第1步：载人数据

6.2.3 第2步和第3步：绘制散点图并添加标签

6.2.4 第4步：设计通用代码

6.2.5 第5步：保存图像

6.2.6 第6步：构造循环

6.3 函数

6.3.1 零和空

6.3.2 技术信息

6.3.3 零和空的第二个示例

6.3.4 具有多个参数的函数

6.3.5 稳健的函数

6.4 函数和if指令的其它问题

6.4.1 再做一次建筑师

6.4.2 第1步：载入并评估数据

6.4.3 第2步：每个站点的生物总量

6.4.4 第3步：每个站点的丰富度

6.4.5 第4步：每个站点的香农指数

6.4.6 第5步：结合代码

6.4.7 第6步：将代码置入函数中

6.5 我们学习了哪些R函数？

6.6 习题

第7章图形工具

7.1 饼图

7.1.1 禽流感数据的饼图

7.1.2 par函数

7.2 条形图和带形图

7.2.1 使用禽流感数据绘制条形图

7.2.2 显示均值和标准差的条形图

7.2.3 海底数据的带形图

7.3 盒形图

7.3.1 显示猫头鹰数据的盒形图

7.3.2 显示海底数据的盒形图

7.4 克里夫兰点图

7.4.1 在克里夫兰点图上添加均值

7.5 重新访问plot函数

7.5.1 普通的plot函数

7.5.2 plot函数的更多选项

7.5.3 增加额外的点、文本和线

7.5.4 使用type=“n”

7.5.5 图例

7.5.6 识别点

7.5.7 改变字体和字体大小

7.5.8 添加特殊符号

7.5.9 其它有用的函数

7.6 多组图

7.6.1 面板函数

7.7 协同图

7.7.1 单个条件变量的协同图

7.7.2 两个条件变量的协同图

7.7.3 增加协同图的修饰

7.8 组合不同类型的图

7.9 我们学习了哪些R函数？

7.10 习题

第8章格包（Lattice Package）简介

8.1 高级格函数（Lattice Function）

8.2 多面板散点图：xyplot

8.3 多面板盒形图：bwplot

8.4 多面板克里夫兰点图：dotplot

8.5 多面板直方图：histogram

8.6 面板函数

8.6.1 个面板函数示例

8.6.2 第二个面板函数示例

8.6.3 第三个面板函数示例

8.7 三维散点图、表面图和等高线图

8.8 常见问题

8.8.1 如何改变面板顺序？

8.8.2 如何改变坐标轴的界限和刻度？

8.8.3 在一个面板中绘制多条线

8.8.4 在循环中绘图

8.8.5 更新图形

8.9 还要学什么？

8.10 我们学习了哪些R函数？

8.11 习题

第9章常见的R错误

9.1 载人数据的问题

9.1.1 源文件里的错误

9.1.2 小数点或者逗号分隔符

9.1.3 目录名

9.2 绑定苦恼

9.2.1 输入相同的attach命令两次

9.2.2 绑定包含同一个变量名称的两个数据框

9.2.3 绑定一个数据框并演示数据

9.2.4 当使用attach函数后改变数据框

9.3 非绑定苦恼

9.4 零的对数

9.5 各种错误

9.5.1 1和1之间的区别

9.5.2 0色彩

9.6 错误地保存R空间

参考文献

索引

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