---
title: "Setup"
output:
  ioslides_presentation:
    smaller: true
    css: css/styles.css
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

## Your Background

What is your current knowledge of Data Science tools?

- Excel, Numbers, A spreadsheet software
- SAS, SPSS, Minitab
- Any other programming language
- R
- A text editor

## Installing R

Hopefully this has been completed already. Otherwise for Windows or OSX:

- Go to http://www.r-project.org/
- From CRAN, pick a download site
- Choose a link based on your Operation System (OS)
- Choose the "base" subdirectory to install R.
  - "contrib" is useful for installing packages on computers without internet access
  - "Rtools" is needed for package development


## Interacting With R

- RStudio
- RGui [Windows/Mac] or Command line [Linux]
- Notepad++ (NpptoR) [Windows only]
- Emacs + ESS
- Eclipse + StatET

## Learn RStudio

We will be using Rstudio for the duration of this course. However, you are free to use any IDE of your choice.


<center><img src="images/Rstudio.png" width="600px"></center>
