Subscribe to keep updated with our latest courses and news

© 2023 by Andrew Cutajar

Introduction to R

R provides a wide variety of statistical techniques and graphical capabilities that will assist the attendees of this course in their research areas. This course will help delegates familiarize themselves with the R environment and different object types such that they may use the R environment to perform a number statistical test and analysis. There will be an examination at the end of the course.

Syllabus:

Module 1: R and Why R

Module 2: Data Manipulation, Calculation and Display

Module 3: Vectors and Vector Arithmetic

Module 4: Objects and Attributes

Module 5: Matrices, Factors

Module 6: Lists

Module 7: Data Frames

Module 8: Functions

Module 9: Data Analysis

Module 10: Graphics

Learning Outcomes:

This course will enable delegates to familiarize themselves with the style of R and learn how to import and manipulate data in the R environment, by using various objects that exist within R.  Attendees will also have a hands-on session on data analysis and visualization.

Participants and Requirements:

This course is intended for professionals in disciplines that require data manipulation. Participants will need to bring their own a laptop with R and R Studio installed, and they may also bring a copy of their own data (in CSV format) to use during the course. A good grasp of basic statistics will also help attendees make the most out of this course.

 

Certificate: Certificate of attendance

 

Course Duration: 6 hours