Handouts
- Basics of R in PDF or in HTML.
- Matrices, Arrays, and Data Frames in R in PDF or in HTML.
- Computer Arithmetic in PDF or in HTML.
- Supplementary Notes about Computer Arithmetic for the Zero-Truncated Poisson Distribution in PDF or in HTML.
- Data in PDF or in HTML.
- Statistical Models in PDF or in HTML.
- Optimization and Solving Equations in PDF or in HTML.
- Statistical Models, Part II, in PDF or in HTML.
- Simulation, in PDF or in HTML.
- Bootstrap, in PDF or in HTML.
- Parallel Computation, in PDF or in HTML.
- Bayesian Inference via Markov Chain Monte Carlo (MCMC), in PDF or in HTML.
- R Generic Functions, in PDF or in HTML.
Source Files
- basic.Rmd, the Rmarkdown source for the handout Basics of R
- array.Rmd, the Rmarkdown source for the handout Matrices, Arrays, and Data Frames in R.
- arithmetic.Rmd, the Rmarkdown source for the handout Computer Arithmetic.
- zero.Rmd, the Rmarkdown source for the handout Supplementary Notes about Computer Arithmetic for the Zero-Truncated Poisson Distribution.
- data.Rmd, the Rmarkdown source for the handout Data.
- models.Rmd, the Rmarkdown source for the handout Statistical Models.
- optimize.Rmd, the Rmarkdown source for the handout Optimization and Solving Equations.
- models2.Rmd, the Rmarkdown source for the handout Statistical Models, Part II.
- simulation.Rmd, the Rmarkdown source for the handout Simulation.
- bootstrap.Rmd, the Rmarkdown source for the handout Bootstrap.
- parallel.Rmd, the Rmarkdown source for the handout Parallel Computing in R.
- mcmc-bayes.Rmd, the Rmarkdown source for the handout Bayesian Inference via Markov Chain Monte Carlo (MCMC).
- generic.Rmd, the Rmarkdown source for the handout R Generic Functions