R软件语言入门教程.doc

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1、.....R语言简介R语言笔记:数据分析与绘图的编程环境版本1.7RDevelopmentCoreTeamJune10,2006ClicktobuyNOW!PDF-XChangeViewer.docu-track.ClicktobuyNOW!PDF-XChangeViewer.docu-track.Contents1绪论与基础11.1R语言环境...............................11.2相关的软件和文档..........................11.3R与统计

2、................................21.4R与视窗系统.............................21.5R的交互使用.............................21.6入门训练...............................31.7获取函数和功能的帮助信息.....................31.8R的命令、对大小写的敏感，等等..................31.9对已输入命令的记忆和更改...........

3、..........41.10命令文件的执行和输出的转向到文件................41.11数据的保持与对象的清除......................42简单操作；数值与向量5.资料........2.1向量与赋值..............................52.2向量运算...............................52.3产生规则的序列............................62.4逻辑向量.................

4、..............72.5缺失值.................................72.6字符向量...............................72.7索引向量(indexvector);数据集子集的选择与修改.........82.8对象的其他类型............................93对象，模式和属性103.1固有属性：模式和长度........................103.2改变对象的长度...............

5、.............113.3属性的获取和设置..........................113.4对象的类别..............................114有序因子与无序因子124.1一个特例...............................124.2函数tapply()与ragged数组......................124.3有序因子...............................135数组和矩阵145.1数组.....

6、.............................145.2数组的索引和数组的子块......................145.3索引数组...............................15i.资料........ClicktobuyNOW!PDF-XChangeViewer.docu-track.ClicktobuyNOW!PDF-XChangeViewer.docu-track.CONTENTSii5.4函数array().....................

7、.........165.4.1向量，数组的混合运算，重复使用规则...........165.5两个数组的外积............................175.6数组的广义转置............................175.7专门的矩阵功能............................185.7.1矩阵乘法...........................185.7.2线性方程和矩阵的逆.....................185.7.3特征值和

8、特征向量......................195.8奇异值分解与行列式.........................195.9最小二乘拟合及QR分解.......................195.10构建分区矩阵，cbind()和rbind()..................195.11连接函数c()，针对数组的应用....................195.12由因子生成频数表..........................206列表和数据帧216.1列表...