R for data analysis and modeling

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Author(s): Gregor, Staber
Year: 2003

Language: English
Pages: 68

R for Data Analysis and Modeling......Page 1
R Week 1 Lesson 1 Installing and Setting Up R......Page 2
R Week 2 Lesson 1 Using R......Page 5
R Week 2 Lesson 2 The R Environment......Page 8
R Week 2 Lesson 3 Vectors and Matrices......Page 11
R Week 2 Lesson 4 Lists......Page 14
R Week 2 Lesson 5 Data Frames......Page 16
R Week 3 Lesson 1 Importing Exporting and Editing Data......Page 19
R Week 3 Lesson 2 Naming Data and Extracting Portions......Page 22
R Week 3 Lesson 3 More on Subsetting Data......Page 24
R Week 3 Lesson 4 Functions to Describe Data......Page 27
R Week 4 Lesson 1 Using the apply() and sweep() functions......Page 29
R Week 4 Lesson 2 Using the lapply() and sapply() functions......Page 32
R Week 4 Lesson 3 tapply() and related functions......Page 34
R Week 5 Lesson 1 Sort, Order, Split, Unique and Duplicated......Page 36
R Week 5 Lesson 2 Merge, Match and %in%......Page 38
R Week 5 Lesson 3 Beginning Statistical Analysis......Page 41
R Week 5 Lesson 4 Elementary Statistical Analysis......Page 43
R Week 6 Lesson 1 The plot() function......Page 46
R Week 6 Lesson 2 Lower Level Plotting Functions......Page 48
R Week 6 Lesson 3 par() and other graphical functions......Page 51
R Week 7 Lesson 1 More High Level Graphing Functions......Page 53
R Week 7 Lesson 2 Writing Your Own Functions......Page 56
R Week 8 Lesson 1 Building Programs......Page 59
R Week 8 Lesson 2 Program Control......Page 62
R Week 8 Lesson 3 Using Functions and Program Control to Automate Your Scripts......Page 65