Difference between revisions of "R Crash Course"

From OSSCOM
Jump to: navigation, search
(Course Materials)
(Course Materials)
Line 18: Line 18:
 
* Simple Statistical Operations Using R
 
* Simple Statistical Operations Using R
 
* Using R Help  
 
* Using R Help  
 +
 
-  [http://osscom.org/sites/default/files/public/day_01.pdf Slides]
 
-  [http://osscom.org/sites/default/files/public/day_01.pdf Slides]
 +
 
-  [http://osscom.org/sites/default/files/public/rstudiotest.r Simple R Script]  
 
-  [http://osscom.org/sites/default/files/public/rstudiotest.r Simple R Script]  
  
Line 33: Line 35:
  
 
- [http://osscom.org/sites/default/files/public/day_02.pdf Slides]
 
- [http://osscom.org/sites/default/files/public/day_02.pdf Slides]
 +
 
- [http://osscom.org/sites/default/files/public/day01_day03_practice.r  Practice Session]
 
- [http://osscom.org/sites/default/files/public/day01_day03_practice.r  Practice Session]
  
Line 42: Line 45:
  
 
-  [http://osscom.org/sites/default/files/public/day_03.pdf Slides]
 
-  [http://osscom.org/sites/default/files/public/day_03.pdf Slides]
 +
 
-  [http://osscom.org/sites/default/files/public/day01_day03_practice.r Practice Session]
 
-  [http://osscom.org/sites/default/files/public/day01_day03_practice.r Practice Session]
  
Line 50: Line 54:
  
 
-  [http://osscom.org/sites/default/files/public/day_04.pdf Slides]
 
-  [http://osscom.org/sites/default/files/public/day_04.pdf Slides]
 +
 
-  [http://osscom.org/sites/default/files/public/day04_ggplot2_practice.r Practice Session]
 
-  [http://osscom.org/sites/default/files/public/day04_ggplot2_practice.r Practice Session]
 +
 
-  [http://osscom.org/sites/default/files/public/day04_extrapractice.r Extra Practices]
 
-  [http://osscom.org/sites/default/files/public/day04_extrapractice.r Extra Practices]
  

Revision as of 12:51, 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.

Course Materials

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

- Slides

- Simple R Script

- Practice Session

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

- Slides

- Practice Session

Day 3

The following topics will be covered in this day:

  • Creating Simple Graphs Using R
  • Customizing Graphs

- Slides

- Practice Session

Day 4

The following topics will be covered in this day:

  • Introduction to ggplot2 plotting package

- Slides

- Practice Session

- Extra Practices

Datasets