An Introduction to RStudio

This is a pdf form of a powerpoint presentation but its very wide so it looks as though part is cut off but it isn't. Please note that a link to sample data is provided in the pdf This is an introduction to R; how to use it and so forth. It covers the basic functions and tasks such as importing dat...

A link to the sample data is provided in the presentation. This section covers indexing and sub-setting, the use of square brackets, calculating summary statistics; functions such as mean(), by the end of this you will be comfortable with creating objects. The apply() function is covered as well as...

Step by step walkthrough covering the use of the following functions rnorm() pnorm() rexp() pexp() pbinom() dbinom() ppois() table() tapply() sd() prop.table() Examples are provided along with questions and answers. link to sample data is provided in the presentation

This session teaches you how to perform basic statistical analysis and a little bit of theory. The two main parts are 1) Standard deviations; how to with and without creating an object and then 2) Random samples and Type I errors; how to generate random data and how to manipulate it, what constitute...

This is the final session. By the end of this session you should be fairly comfortable with the program. This session focuses on hypothesis testing. You will cover the correlation function - c() a look at the additional types of t-tests R is capable of running - t.test() You will look at a different...