Introduction to R Programming

Name: Introduction to R Programming
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Basics of R Software

Created byProf Madana Mohana R

Last updated 2/2022

English

What you'll learn

Any scientific task without the knowledge of software is difficult to imagine and complete in the current scenario.
R is a free software that is capable of handling mathematical and statistical manipulations.
R has its own programming language as well as built in functions to perform any specialized task.
Intended to learn the basics of R software in this course.

Course content

7 sections • 30 lectures • 16h 32m total length

Why R and Installation Procedure35:50
Outline:
What is R
History of R
Switching to R
Installing R
Installing RStudio
Help_Demonstration_Examples_Packages and Libraries39:51
Lecture - 02 Help, Demonstration, Examples, Packages and Libraries
OUTLINE
Starting with R
Getting Help in R
Worked Examples of Functions
Demonstration of R Functions
Libraries in R
Installing Packages and Libraries
Command line_Data Editor and RStudio45:59
Lecture - 03: Command line, Data Editor and RStudio
OUTLINE
Command Line versus Scripts
Data Editor
Cleaning up the Windows
Introduction to RStudio
Basics and R as a Calculator39:48
Lecture - 04: Basics and R as a Calculator
OUTLINE
Basics
R as a Calculator
Multiplication and Division
Addition and Subtraction
Tips
R as Calculator_Builtin Functions and Assignments32:36
Lecture - 05: Basics of Calculations- R as Calculator, Built in Functions and Assignments
OUTLINE
Integer Division
Modulo Division
Built in Functions
Assignments
Tips
Quiz-1

Functions and Matrices37:53
Lecture- 06. Basics of Calculations: Functions and Matrices
OUTLINE
Functions- Introduction
Functions - Single Variable
Functions - Two Variables
Matrices
Tips
Matrix Operations24:04
Lecture-07. Basics of Calculations: Matrix Operations
OUTLINE
Properties of a Matrix
Help on the object “Matrix”
Matrix Operations
Tips
Matrix Operations (cont'd.)29:06
Lecture - 08. Basics of Calculations: Matrix Operations (Part-2)
OUTLINE
Matrix Multiplication
Cross product of a matrix
Addition and Subtraction of matrices
Inverse of a matrix
Eigen Values and Eigen Vectors
Tips
Missing data and Logical operators30:40
Lecture -09. Missing Data and Logical Operators
OUTLINE
Missing data
Logical Operators and Comparisons
Examples
Tips
Logical Operators16:03
Lecture-10. Logical Operators
OUTLINE
Logical Operators and Comparisons
Examples
Tips
Truth table and Conditional executions23:30
Lecture-11: Truth Table and Conditional Executions
OUTLINE
Example of Standard Logical Operations-Truth Table
Control structures in R
Tips
Quiz-2

Conditional Executions and Loops39:28
Lecture-12: Conditional Executions and Loops

OUTLINE
Conditional Execution
for loop
while loop
repeat loop
Tips
Sequences25:16
Lecture -13: DATA MANAGEMENT: SEQUENCES
OUTLINE:
Sequences-Introduction
Syntax
Examples
Tips
Sequences (cont'd.)36:37
Lecture-14: DATA MANAGEMENT-SEQUENCES (Cont'd.)
OUTLINE
Sequences-vectors
Sequences-dates
Sequences-letters
Sequences-alphabets
Tips
Repeats31:00
Lecture-15: DATA MANAGEMENT-REPEATS
OUTLINE
Repeat-Introduction
Repeat-Syntax
Repeat-Help
Repeat-An object n-times
Repeat-Repetition of characters
Tips
Sorting and Ordering19:58
Lecture-16: DATA MANAGEMENT-SORTING AND ORDERING
OUTLINE
Introduction
Sorting-Syntax
Sorting-Examples
Ordering-Syntax
Ordering-Examples
Tips
Quiz-3

Lists47:47
Lecture-17: DATA MANAGEMENT- LISTS
OUTLINE
Lists-Introduction
Lists-Mode
Mode-Examples
Lists-Help
Lists-Examples
Tips
Vector Indexing42:55
Lecture-18: DATA MANAGEMENT-VECTOR INDEXING
OUTLINE
Vector Indexing-Introduction
Vector Indexing-Positive Integers
Vector Indexing-Logical Vector
Vector Indexing-Negative Integers
Vector Indexing-String Vector
Vector Indexing-Empty Index
Vector Indexing-Matrices created from empty Lists
Tips
Factors56:37
Lecture-19: DATA MANAGEMENT-FACTORS
OUTLINE
Categorical Variables
Factors-Introduction
Factors-Syntax
Factors-Help
Factors-Examples
Factors-uncalss function
Factors-uncalss function examples
Tips
Quiz-4

Print and Format functions26:23
Lecture-20: STRINGS-DISPLAY AND FORMATTING: PRINT AND FORMAT FUNCTIONS
OUTLINE
Strings
Formatting and Display of Strings
Examples
Tips
Print and Format functions with Concatenate28:36
Lecture-21. STRINGS-DISPLAY AND FORMATTING: PRINT AND FORMAT WITH CONCATENATE
OUTLINE
Introduction
cat function
Examples
Tips
Paste Function29:49
Lecture-22. STRINGS-DISPLAY AND FORMATTING: PASTE FUNCTION
OUTLINE:
Introduction
Paste function-Syntax
Examples
Tips
Splitting17:30
Lecture-23. STRINGS-DISPLAY AND FORMATTING: SPLITTING
OUTLINE
Introduction
Operations with Strings
Examples
Tips
Replacement and Manipulations27:28
Lecture-24. STRINGS-DISPLAY AND FORMATTING: Replacement and Manipulations with Alphabets
OUTLINE
Introduction
Operations with Strings
Examples
Tips
Replacement and Evaluation28:39
Lecture-25. STRINGS-DISPLAY AND FORMATTING: Replacement and Evaluation of Strings
OUTLINE
Introduction
Operations with Strings
Examples
Tips
Quiz-5

Data Frames25:37
Lecture-26: DATA FRAMES
OUTLINE
Data Frames-Introduction
Package-MASS
Working with the data set-painters
Examples
Tips
Data Frames (cont'd.)32:21
Lecture-27. DATA FRAMES (Cont'd.)
OUTLINE
Data Frames-Testing
Creating data frames
Structure of the data
Extraction of the data
Summary function
Plot and Graphics of the data
Tips
Data Frames (cont'd.)32:43
Lecture-28: DATA FRAMES (Cont'd.)
OUTLINE
Attaching a data frame
Summary function
Detach function
Subset function
Split function
Tips
Importing CSV and Tabular Data Files37:31
Lecture-29. DATA HANDLING: Importing CSV and Tabular Data Files
OUTLINE
Setting up directories
Importing Data Files
From Internet
CSV (Comma-Separated-Values) files
Reading Tabular Data
Tips
Importing Data Files of Other Software and Redirecting Output50:32
Lecture-30. DATA HANDLING: Importing data Files of Other Software and Redirecting Output
OUTLINE:
Importing Data Files
Spreadsheet (Excel) file data
SPSS data file
Other data files
Contents of working directory
Redirecting Output to a File
Writing to CSV files
Tips
Quiz-6

Requirements

Mathematics background up to class 12 is needed.
Having some preliminary knowledge will be helpful but not necessarily mandatory.

Description

Any scientific task without the knowledge of software is difficult to imagine and complete in the current scenario. R is a free software that is capable of handling mathematical and statistical manipulations. It has its own programming language as well as built in functions to perform any specialized task. We intend to learn the basics of R software in this course.

All industries involved in mathematical and statistical computations, programming and simulations and having R & D setup will use this R Programming course.

Who this course is for:

UG/PG students of Science and Engineering

Introduction to R Programming

What you'll learn

Explore related topics

Course content

Basic fundamentals of R5 lectures • 3hr 14min

Basics of Calculations6 lectures • 2hr 41min

Basics of Calculations and Data Management5 lectures • 2hr 32min

Data Management with Lists, Vector Indexing and Factors3 lectures • 2hr 27min

Strings-Display and Formatting6 lectures • 2hr 38min

Data Frames and Data Handling5 lectures • 2hr 59min

Final Practice Exam0

Requirements

Description

Who this course is for: