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Materials for the R Programming Workshop - Winter 2016

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Class Logistics

Saturdays, 2.30 - 4.30pm

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Workshop Outline

Session 1: Introduction to R and RStudio

Pre-requisites for this class

1. Install R - http://www.r-project.org/
2. Install RStudio - http://www.rstudio.com/products/rstudio/download/

Topics Covered

• RStudio IDE features
• Customizing the RStudio Environment
• Creating and Managing a RStudio Project
• Data Analysis Value Chain
• Installing and Loading packages

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Session 2: Graphics and Visualization in R

Topics Covered

• Base plotting
• ggplot2

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Session 3: Data Structures in R

Topics Covered

• Data Structures: Vectors, Lists, Matrices, Data frames
• Creation
• Inspection
• Adding and Removing
• Indexing
• Type casting and coercion

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Session 4: Data Munging in R - Part I

Topics Covered

• readxl
• haven
• jsonlite
• tidyr

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Session 5: Data Munging in R - Part II

Topics Covered

• dplyr

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Session 6: Functions and apply family

Topics Covered

• Function syntax
• Control structures
• apply family of functions

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Session 7: Reporting and Business App Development

Topics Covered

• Working with RMarkdown
• Shiny

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Books used in this Workshop

1. The Art of R Programming - Norman Matloff
2. R Graphics Cookbook (for ggplot2) - Winston Chang

Recommended books (you don't have to buy these)

1. R for Everyone - Jared Lander
2. R in Action - Rob Kabacoff
3. R Cookbook - Paul Teetor

Reference books (optional)

1. Advanced R - Hadley Wickham
2. The R Inferno (PDF copy) - Patrick Burns

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Sharing and Reuse

R Programming Workshop by Narayanan Venkataraman is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://github.com/nvenkataraman1/RProgrammingWorkshop.