index.md

title	subtitle	author	job	framework	highlighter	hitheme	widgets	mode	knit
Learn R		Nehil Jain		io2012	highlight.js	tomorrow		selfcontained	slidify::knit2slides

What we will cover?

1. Github
2. Data Importing
3. Data Cleaning and Munging
4. Data Vizualisation
5. Code Style Guide
6. Resources

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Github

1. What is source control?
2. Why Github?
3. Advantages
4. Lets do it ourselves

• create github account
• create a new repository
• Go through http://rogerdudler.github.io/git-guide/

5. Cheatsheet

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Lets get github setup

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Data Importing

• Data Types in R
• Readr
• Data.Table
• Caveats
• Prevent copying data

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Lets do it

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Data Analysis

• plyr #later

• dplyr

• Tbl_df

• 5 verbs

  • slice
  • filter
  • select
  • arrange
    • desc
  • mutate
  • summarise

• Grouped Operations

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Data Analysis

• Merges
  • rbind, cbind
  • left join, right join, outer join, inner join Visual Explaination
• Dplyr Cheatsheet

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Lets Do it

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Visualisation

• ggplot2
• ggvis
• exploratory
• Grammar of Graphics
  • ggplot #data
  • aes #mapping
  • geom #Visual Geometry
  • scales and coordinates
• ggplot Cheatsheet

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Visualisation

• resources
  • Best Practices for Visualisation Slidedeck
  • manhattan and qq plot
  • correlation matrix plot
  • Good overall Tutorial

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Lets Do it

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Code Style

• Creating code vs maintaining code
• Be kind to your future self. Write readable and consistent code
• Hadley Wickam's Style Guide (http://adv-r.had.co.nz/Style.html)
• Naming is complex. Also beware of collisions

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Resources

• Datacamp
• Coursera
• R-bloggers
• Rdocumentation.org
• Stackoverflow