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.