We learn R from scratch.
Examination
 PLEASE NOTE THAT THE ORIGINAL EXAMINATION HAD A MINOR ERROR THAT HAS NOW BEEN CORRECTED. PLEASE DOWNLOAD THE EXAM AGAIN USING THE LINK BELOW
 Also note that I will allow up to 3 written pages instead of 2. Trace plots will not count towards the 3 page limit.
 The examination will be an assignment. It is due on July 1. You may submit it to me in room 219, building 4 Shahe Campus. Instructions are included here. The dataset for the first part is here. The dataset for the second part is here. Both datasets can be opened in R using the load command.
 If you have any questions you can email me or ask me in class. Good luck!
Lecturers
 Feng Li, Central University of Finance and Economics
 Anastasios Panagiotelis, Monash University
Literature
 An Introduction to R

Jones, Owen, Robert Maillardet, and Andrew Robinson. Introduction to scientific programming and simulation using R. CRC Press, 2014.
Lecture notes
 Introduction Lab
 Data manipulation Lab
 Loops and Functions  R Code
 Vectorization
 Distributions and Random Numbers  R Code
 R Graphics  R Code
 Optimization  Matrix Derivatives  R Code: Root Finding  R Code: Multidimensional Newton’s MethodNotes: Logistic Regression  R Code: Logistic RegressionComparison Nelder Mead
 Simulation: Lecture Notes (Tue)  Simulation: Exercises (Fri) R Code: Lectures (Tue) R Code: Exercises (Fri)
 Markov chain Monte Carlo  R Code (Markov Chains)
 Bayesian Inference  Bayesian Inference (Computer Lab)Bayes Inference (Solutions) Computing on the Log Scale
 Application of MCMC (Lecture Notes)  R Code (MCMC)Gibbs Sampler (R Code)
 Examination Practice Question (to be completed in class)
 Review