1.1 Computing-with-R.pdf
0.2 Syllabus
0.3 Assignments
0.4 Resma3.RData (Ver 3.0)
1.1 Installation and Updating
1.2 R Markdown, HTML and Latex
1.3 History, Basic Usage
2.1 Data Types
2.2 Vectors, Matrices, Data frames and Lists
2.3 Generating Objects
2.4 Subsetting
2.5 Random Numbers
2.6 Writing Functions
2.7 Programming
2.8 Object-Oriented Programming
2.9 Vector Arithmetic, Linear Algebra
2.10 Working with Characters
2.11 Data Input/Output, Transfering R Objects
2.12 Graphs
2.13 Model Notation
2.14 Numerical Methods
2.15 Environments, Libraries
2.16 Customizing R: .First, .Rprofile, Dropbox
2.17 List of Important base R Commands
3.0 Packages
3.1 Graphics with ggplot2
3.2 C++ with Rcpp
3.3 Parallel and gpu Computing
3.4 Input/Output Revisited
3.5 The pipe, dplyr, tibbles, tidyverse
3.6 Interactive Apps with shiny
3.7 Characters with strngr
3.8 Dates with lubridate
3.9 Factors with forcats
3.10 Version Control and Collaboration with github
4.1 Basic statistics
4.2 Multiple predictors
4.3 Parameter estimation
4.4 Bayesian analysis