Appendix E 概念索引
Publication:2010-05-02
Source: biosino.orgAuthor: 丁国徽
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- CRaN: Contributed packages and CRaN
- Kolmogorov-Smirnov 检验。: Examining the distribution of a set of data
- QR 分解: Least squares fitting and the QR decomposition
- Shapiro-Wilk 检验: Examining the distribution of a set of data
- t检验: One- and two-sample tests
- Wilcoxon 检验: One- and two-sample tests
- 二元操作符: Defining new binary operators
- 从文件中读取数据: Reading data from files
- 作用域: Scope
- 公式: Formulae for statistical models
- 分位比较图: Examining the distribution of a set of data
- 列表: Lists
- 列表连接: Concatenating lists
- 删除对象: Data permanency and removing objects
- 制表: Frequency tables from factors
- 动态图形: Dynamic graphics
- 包: Packages
- 包: R and statistics
- 单样本和双样本检验: One- and two-sample tests
- 参数命名: Named arguments and defaults
- 向量: Simple manipulations numbers and vectors
- 命名空间: Namespaces
- 因子: Contrasts
- 因子: Factors
- 图形参数: The par() function
- 图形设备驱动: Device drivers
- 奇异值分解: Singular value decomposition and determinants
- 字符向量: Character vectors
- 定制环境: Customizing the environment
- 定向输入和输出: Executing commands from or diverting output to a file
- 密度估计: Examining the distribution of a set of data
- 对照: Contrasts
- 对象: Objects
- 局部近似回归: Some non-standard models
- 属性: Objects
- 工作空间: Data permanency and removing objects
- 广义线性模型: Generalized linear models
- 循环使用原则: Vector arithmetic
- 循环使用原则: The recycling rule
- 循环和条件控制: Loops and conditional execution
- 成组表达式: Grouped expressions
- 控制语句: Control statements
- 搜索路径: Managing the search path
- 数据框: Data frames
- 数组: arrays
- 数组的外积: The outer product of two arrays
- 数组的广义转置: Generalized transpose of an array
- 数组索引: array indexing
- 方差分析: analysis of variance and model comparison
- 族: Families
- 更新拟合模型: Updating fitted models
- 最大似然法: Maximum likelihood
- 最小二乘法拟合: Least squares fitting and the QR decomposition
- 有序因子: Factors
- 有序因子: Contrasts
- 树型模型: Some non-standard models
- 概率分布: Probability distributions
- 正则序列: Generating regular sequences
- 泛型函数: Object orientation
- 混合模型: Some non-standard models
- 特征值和特征向量: Eigenvalues and eigenvectors
- 盒状图: One- and two-sample tests
- 矩阵: arrays
- 矩阵相乘: Multiplication
- 稳健回归: Some non-standard models
- 算术函数和运算符: Vector arithmetic
- 类: The class of an object
- 类: Object orientation
- 索引向量: index vectors
- 累加模型: Some non-standard models
- 线性方程: Linear equations and inversion
- 线性模型: Linear models
- 经验累积分布函数: Examining the distribution of a set of data
- 统计模型: Statistical models in R
- 编写函数: Writing your own functions
- 缺省值: Missing values
- 行列式: Singular value decomposition and determinants
- 访问内置数据: accessing builtin datasets
- 赋值: Vectors and assignment
- 非线性最小二乘法: Nonlinear least squares and maximum likelihood models
- 面向对象: Object orientation
- 默认值: Named arguments and defaults
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