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Applied R Tutorial

This is a series of very basic R tutorial presentations comprising of three major tracks: analyst, data scientist and data engineer. It focused on applied R skills, instead of statistics principles or software engineering mechanisms, majorly aiming to serve as a starting point to promote R within a business organization that wants to be data-smart.

Who Can Use It?

Anyone who is interested in, but not quite familiar with R yet. You don't need to have strong programming skills but you must have a good sense of data.

You are also recommended to have solid statistics knowledge before you start to use R. R is born with statistics genes.

How to Use

This series presentations are compiled with knitr using ioslide template. You can compile them by knitring the .rmd files.

Each presentation is in html format. You can run them using a browser, e.g., Chrome, Firefox, Opera, IE or Safari.

Online

Directly visit the Github project intro site

Analyst Track

• A01 R Basics

  • 01 R intro
  • 02 Objects and type
  • 03 Calculation and functions
  • 04 Control structure
  • 05 Code style

• A02 Data Manipulation

  • 01 Directory and files
  • 02 Input Output
  • 03 Dataframe operation
  • 04 Apply-function family
  • 05 Dataframe shaping
  • 06 String and regex
  • 07 Date and time

• A03 Visualization

  • 01 Graphic Device & Graphic System
  • 02 Visual Design
  • 03 Base Plotting System
  • 04 Lattice Plotting System
  • 05 ggplot2 Plotting System
  • 06 Maps
  • 07 Interactive Charts

• A04 Basic Analysis

  • 01 Descriptive Analysis
  • 02 Quantitative Inference
  • 03 Qualitative Inference
  • 04 Exploratory Analysis (1)
  • 05 Exploratory Analysis (2)
  • 06 Time Series Analysis

• A05 Repeated Reporting

  • 01 Organization of An Analytic Project
  • 02 Git And Version Control System
  • 03 Concepts of Reproducible Research
  • 04 R Markdown
  • 05 knitr
  • 06 R Notebook
  • 07 Microsoft Office Automation
  • 08 Case Study

Engineer Track

• B01 Functional Programming And Object-oriented Programming
  • 01 OOP And S3
  • 02 S4 And RefClass
  • 03 Advanced Function
  • 04 Environment And Scoping
  • 05 Functional Programming
  • 06 Functionals And Function Operators
  • 07 Exceptions And Debugging

Offline

Fork this project or download the project zip to local disk.

License

This tutorial series are under GNU GPL-3 license. Refer to LICENSE file under the root directory before you want to copy, edit or re-distribute the materials.