**16 ^{th} March 2015**

Tutorial on R: written by the trainer, this guides you through some of the concepts of data manipulation in R, followed by some descriptive statistics and a kind of pot-pourri of some of the things we are going to do with R this week.

An introduction to probability theory: also written by the trainer, may be a bit mathematical, but if you feel like doing some maths to reactivate this part of your brain that you will have to use throughout the week, you are most welcome! ðŸ™‚ We will go through some of this stuff during the first days of the week, we’ll see more on some aspects, and we will skip all the proofs (or almost all of them) during the lectures… If you want me to add more detail about this or that, please let me know during the week, it will be my pleasure to extend this.

Slides:

Some well-known distribution functions

Sample input data files:

Sample Practical R Files / code

**17 ^{th} March 2015**

Slides:

Basic descriptive statistics: sample mean, sample variance, sample quantiles

Sample input data files

Sample Practical R Files / code

**18 ^{th} March 2015**

Slides:

Sample input data files

Sample Practical R Files / code

Thanks to Azza: history_wednesday

**19 ^{th} March 2015**

framework_for_statistical_tests

Slides:

Sample input data files

Sample Practical R Files / code

**20 ^{th} March 2015**

Slides:

Sample input data files

Sample Practical R Files / code

**21 ^{st} March 2015**

Assessment

shorttest+answers: the pdf file containing the questions and answers to the written part

prac_answered: the answers for the practical

my_boxplot: an example of the kind of boxplot graph I was especting from the prac (questions 8 & 9)