Data science in R

OSCON, Portland, OR.. July 16 2012.

Make sure you have the following software installed:

R 2.15
Rstudio desktop
Once you have R and Rstudio installed, open Rstudio and run the following code:
```
install.packages(c("ggplot2", "plyr", "reshape2", "stringr"))
```
You can check everything is installed correctly by running:
```
library(ggplot2)
qplot(mpg, wt, data = mtcars)
```

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Course outline

Introductions and course outline.

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R language and ecosystem

Introduction to R and some of the thing that make it special as a language and an ecosystem.

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Visualisation

Quick introduction to ggplot2 and where to learn more.

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Transformation

How to get data into and out of R, and how to work with it when you have it.

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Modelling

Introduction to modelling in R, including the standard modelling algebra and APIs. Pointers to machine learning tools and where to learn more.

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Case study

A case study that uses transformation, modelling and visualisation to find diseases with unusual time patterns using ~500,000 mortality records from Mexico