# Introduction

## Session overview

This session has been designed assuming you have carried out the prior Independent Study as recommended. If you have not carried that out and have some familiarity with coding (not necessarily in R), you may be able to dive in but otherwise I suggest using this workshop time to carry out the independent study first.

In this introduction you will start working with RStudio. The independent study equips you to use the help manual, install R and Rstudio on your own computer and uses DataCamp again to cover some more fundmental R.

## Learning Outcomes

By actively following the lecture and practical and carrying out the independent study before and after the contact hours the successful student will be able to:

- to explain why we need statistical tests and the logic of hypothesis testing (MLO 1)
- use the R command line as a calculator and to assign variables (MLO 3)
- create and use the basic data types in R (MLO 3)
- find their way around the RStudio windows (MLO 3)
- create, use and save a script file to run r commands (MLO 3)
- search and understand manual pages (MLO 3)

## Philosophy

Workshops are not a test. It is expected that you often don’t know how to start, make a lot of mistakes and need help. Do not be put off and don’t let what you can not do interfere with what you can do. You will benefit from collaborating with others and/or discussing your results.

The lectures and the workshops are closely integrated and it is expected that you are familar with the lecture content before the workshop. You need not understand every detail as the workshop should build and consolidate your understanding. You may wish to refer to the slides as you work through the workshop schedule.

## Slides

Introduction to module and RStudio: pdf (recommended) / pptx

Your responses from TurningPoint.