Difference between revisions of "R Crash Course"

Revision as of 13:43, 23 February 2016

Introduction

Learn the fundamentals of R the open source statistical computing and graphics environment and language.

R provides researchers and students with a wide variety of extensible data processing, statistical and graphical libraries.

This crash course is organized to be given as a series of seminars over the period of 4 days. Each day will include a practice session to practice some of the R commands.

Please use the accompanied datasets in order to be able to perform the associated exercises correctly.

Day 1

The following topics will be covered in this day:

• Introduction to R
• Introduction RStudio
• Simple Data Import / Export Functionalities
• Simple Statistical Operations Using R
• Using R Help

- Simple R Script [1]

- Practice Session [2]

Day 2

The following topics will be covered in this day:

• Introduction to R Programming
• R Data Types
• Control and Loop Structures
• R Functions
• Scoping

- Practice Session [3]

Day 3

The following topics will be covered in this day:

• Creating Simple Graphs Using R
• Customizing Graphs

- Practice Session [4]

Day 4

The following topics will be covered in this day:

• Introduction to ggplot2 plotting package

- Practice Session [5]

- Extra Practices [6]

Datasets

• MPG [7]
• mydata100 [8]