index.md

title
Data Programming for Social Scientists

back to GitHub

Div Styles

Introducing R

Core R

R Studio

Markdown

• Pimp my RMD

The Learning Curve

---

Getting Started

R as a Calculator

• Assignment
• Mathematical Operators

Functions [ chapter ]

• Input-Output Devices
• Object-Oriented Coding
• Arguments
• Values
• Return

Data Recipes

• Scripts

Navigating R

• Navigation (working directories, list objects, create folders)
• Reading Help Files

One-Dimensional Datasets

1. CH 03 - Vectors
2. CH 04 - Working with Vectors
3. CH 05 - Altering Vectors
4. CH 06 –Identifying Groups within Data

Two-Dimensional Datasets

1. CH 07 – Dataframes
2. CH 08 – Matrices and Lists

Data Wrangling (dplyr)

1. CH 09 – Getting Data into R [ tutorial ]
2. CH 10 - Saving Data [ tutorial ]

Tidy Functions

1. CH 11 – Slicing Datasets – Base R and dplyr
2. CH 12 – Combining Datasets

Explore and Describe

1. CH 13 – Summarizing Vectors
2. CH 14– Summarizing Groups of Vectors

Visualize

1. CH 15 – Principles of Visual Communication
2. CH 16 – Core Graphics Engine
3. CH 17 – Advanced Graphics
4. CH 18 – ggplot2

Make Dynamic

1. CH 19 - R shiny [ tutorial ]
2. CH 20 - flexdashboards [ overview ]