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 students familiarize themselves with the R environment and different object types in R such that they may use the R environment to perform a number statistical test and analysis.
There is an Examination at the end of this course.
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
This course will allow attendees to familiarize with the style of R. Students will 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 RequirementsThis 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 best of this course.
CertificateCertificate of attendance
Course Duration6 hours