R Training – Introduction – 2 Days

The first session gives you an introduction to R and gets you using it. We carry out some simple mathematics and also look at finding help and how to access additional command packages.

• Simple maths
• Object names
• Joining Items
• Getting help
• Command packages

This section covers more introductory material (for example, how to import and export data) and also introduces the concept of objects. It then moves on to how to handle and manipulate objects.

• Disk Directories
• Importing data
• Managing data items
• Types of data object
• Exporting data
• Object properties
• Subsetting
• Re-aranging

During this session you see how to gather summary statistics from different types of data.

• Summary statistics
• Manipulating data

Tables and frequency data
In this session you’ll find out how to make frequency tables from data tables. You’ll also learn about cross tabulation and how to change data from one form to another.

• Tabulation
• Cross tabulation

Statistical testing

Here you will look at basic hypothesis testing as well as presenting the results in a graphical format. The session will cover simple differences tests, correlation and tests of association. You’ll also look at random number generation and different kinds of data distribution.

• Data distribution
• Random numbers
• Tests of distribution type

Statistical tests

• Stats tests (t, U, cor, chi)

Graphics

• R Graphics (basics)

The final session of the course will look at some methods of statistical modelling. You’ll focus on analysis of variance (ANOVA), a widely used analytical tool. The step-up from basic hypothesis testing to more advanced techniques is an important one and will give you a good foundation to explore more modelling methods (e.g. machine learning) in the future.
You’ll see how to use the powerful formula notation to describe analytical situations. You will also learn how to present the results graphically.

• Formula notation
• ANOVA
• ANOVA summary