Introduction to R Programming
This course provides an easy introduction to programming in R.
Overview
This course provides an easy introduction to programming in R for those who have little or no programming experience. Topics include understanding file formats, basic R syntax, and how to use text editors to write code. You will learn to read in files, use symbols and assignments, and iterate simple loops, and the course closes with a discussion of data structures (including vectors and data frames) and subsetting.
- Introductory
- 4 Weeks
- Expert Instructor
- Tuiton-Back Guarantee
- 100% Online
- TA Support
Learning Outcomes
After taking this course you should be able to install and read data files in R. You will learn to perform various operations and apply common functions to manipulate and analyze data using basic R syntax.
- Install R and RStudio
- Write simple pseudocode and create simple flow charts
- Document your code
- Use file management and version control tools
- Perform simple arithmetic and statistical operations in R
- Read data files into R
- Create loops for iteration (e.g. for loop)
- Subset data vectors and lists
- Use apply family of functions for subsetting and basic computations
- Use simple R functions for numerical analysis
- Use simple R functions for basic graphs
- Get familiar with R Data Structures, especially vectors and data frames
- Perform data manipulation on data frames
- Perform sorting, merging of data frames
Who Should Take This Course
Those who want to start their study of programming in R, especially those with no prior programming experience. If you do have some programming experience and want to learn R, you could consider starting directly with R Programming Introduction Part 2.
Our Instructors
Dr. Tal Galili
Course Syllabus
Week 0
- Installing, starting and stopping R
- file operations and file formats
- writing code and text editors
- basic R syntax
- reading files
- symbols and assignment
- sequences
- simple loops (iteration)
- data structures
- subsetting
- assigning to subsets
- apply Functions
Week 1
Getting Started with R
- Basic programming principles
- Flow charts
- Pseudocode
- Installing, starting and stopping R
- File operations and file formats
- Writing code and text editors
- Basic R syntax
- Reading files
- Symbols and assignment
Week 2
Variables, Loops and Data Structures
- Variables
- Sequences
- Simple loops (iteration)
- Data structures
- Exploring data
- Subsetting data
Week 3
apply and other Functions
- apply function
- Special values
- Packages
- Useful functions
Week 4
Multidimensional Data
- Overview of vectors, vector manipulation
- Factors
- Attributes
- Lists, matrices, and arrays
- Data Frames
Class Dates
2023
Instructors: Dr. Tal Galili
2024
Instructors: Dr. Tal Galili
Instructors: Dr. Tal Galili
Instructors: Dr. Tal Galili
2025
Instructors: Dr. Tal Galili
Instructors: Dr. Tal Galili
Instructors: Dr. Tal Galili
Prerequisites
If you do have some programming experience and want to learn R, you could consider starting directly with R Programming – Introduction Part 2.
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Additional Information
Course Text
The course text is Introduction to Data Technologies by Paul Murrell. It may be purchased from the publisher Chapman and Hall/CRC Press. The text is also available online here in both PDF and HTML formats.
Software
You must have a copy of R for the course. Click Here for information on obtaining a free copy, including installation instructions. Installation will be covered in the first week of the course, but you should try installing R before the course starts, so that any issues you encounter can be addressed early.