Appendix E 概念索引

• CRAN: Contributed packages and CRAN
• Kolmogorov-Smirnov 檢驗。: Examining the distribution of a set of data
• QR 分解: Least squares fitting and the QR decomposition
• Shapiro-Wilk 檢驗: Examining the distribution of a set of data
• t 檢驗: One- and two-sample tests
• Wilcoxon 檢驗: One- and two-sample tests
• 二元操作符: Defining new binary operators
• 作用域: Scope
• 公式: Formulae for statistical models
• 分位比較圖: Examining the distribution of a set of data
• 列表: Lists
• 列表連接: Concatenating lists
• 刪除對象: Data permanency and removing objects
• 動態圖形: Dynamic graphics
• 包: R and statistics
• 包: Packages
• 參數命名: Named arguments and defaults
• 向量: Simple manipulations numbers and vectors
• 命名空間: Namespaces
• 單樣本和雙樣本檢驗: One- and two-sample tests
• 因數: Factors
• 因數: Contrasts
• 圖形參數: The par() function
• 圖形設備驅動: Device drivers
• 奇異值分解: Singular value decomposition and determinants
• 字元向量: Character vectors
• 定制環境: Customizing the environment
• 定向輸入和輸出: Executing commands from or diverting output to a file
• 密度估計: Examining the distribution of a set of data
• 對照: Contrasts
• 對象: Objects
• 局部近似回歸: Some non-standard models
• 屬性: Objects
• 工作空間: Data permanency and removing objects
• 廣義線性模型: Generalized linear models
• 從檔中讀取資料: Reading data from files
• 成組運算式: Grouped expressions
• 控制語句: Control statements
• 搜索路徑: Managing the search path
• 數據框: Data frames
• 方差分析: Analysis of variance and model comparison
• 族: Families
• 更新擬合模型: Updating fitted models
• 最大似然法: Maximum likelihood
• 最小二乘法擬合: Least squares fitting and the QR decomposition
• 有序因數: Factors
• 有序因數: Contrasts
• 概率分佈: Probability distributions
• 樹型模型: Some non-standard models
• 正則序列: Generating regular sequences
• 泛型函數: Object orientation
• 混合模型: Some non-standard models
• 特徵值和特徵向量: Eigenvalues and eigenvectors
• 盒狀圖: One- and two-sample tests
• 矩陣: Arrays
• 矩陣相乘: Multiplication
• 穩健回歸: Some non-standard models
• 算術函數和運算符: Vector arithmetic
• 索引向量: Index vectors
• 累加模型: Some non-standard models
• 統計模型: Statistical models in R
• 經驗累積分佈函數: Examining the distribution of a set of data
• 線性方程: Linear equations and inversion
• 線性模型: Linear models
• 編寫函數: Writing your own functions
• 缺省值: Missing values
• 行列式: Singular value decomposition and determinants
• 製錶: Frequency tables from factors
• 訪問內置資料: Accessing builtin datasets
• 賦值: Vectors and assignment
• 迴圈使用原則: The recycling rule
• 迴圈使用原則: Vector arithmetic
• 迴圈和條件控制: Loops and conditional execution
• 陣列: Arrays
• 陣列的外積: The outer product of two arrays
• 陣列的廣義轉置: Generalized transpose of an array
• 陣列索引: Array indexing
• 非線性最小二乘法: Nonlinear least squares and maximum likelihood models
• 面向物件: Object orientation
• 預設值: Named arguments and defaults
• 類: The class of an object
• 類: Object orientation