The document presents a comprehensive overview of R, a programming language designed for statistical computing, including its features, advantages, and basic data types. It outlines a structured approach through various modules covering topics such as vectors, matrices, factors, and lists, along with operations and subsetting techniques. The training is designed for educational purposes, focusing on practical applications in data analysis and visualization.

1. Prepared By –
Abhishek Pratap Singh
B.Tech. I.T. – 4th Sem.
Roll No. 03
Presented To –
Mr. Ashu Sharma

2. WEBSITE
edX
www.edx.org
Trainer: Mr. Filip Schounwenaars

3. What is R?
• Language for Statistical Computing
• Ihaka & Gentleman
• Auckland, New Zealand
• Open-source implementation of S
• Statistical Techniques
• Visualization Capabilities
• Highly Extensible

4. Important features of R
 R is a well-developed, simple and effective programming
language which includes conditionals, loops, user defined
recursive functions and input and output facilities.
 R has an effective data handling and storage facility,
 R provides a suite of operators for calculations on arrays,
lists, vectors and matrices.
 R provides a large, coherent and integrated collection of
tools for data analysis.
 R provides graphical facilities for data analysis and
display either directly at the computer or printing at the
papers.

5. Why R?

6. Module - 1
R: The True Basics
What is R?
Advantages &
Disadvantages
Console
Variables
Workspace
R Scripts
Comments #

7. Module - 2
Basic Data Types
Logical
Numeric
Character
Other Atomic Types
Coercion

8. Module – 3
Create And Name Vectors
Vector
Create a Vector
Name a Vector
Single Value = Vector
Vectors are
Homogenous
Coercion for Vectors

9. Module - 4
Vector Arithmetic
Vector Arithmetic
Element-wise
‘sum( )’ and ‘>’
Operations

10. Module - 5
Subsetting vectors
Subset by Index
Subset by Name
Subset Multiple
Elements
Subset All but Some
Subset using Logical
Vectors

11. Module - 6
Create & Name Matrices
Matrix
Create a Matrix:
matrix ( )
Create a Matrix:
Recycling
‘rbind( )’ , ‘cbind( )’
Naming a Matrix:
‘rownames( )’,
‘colnames( )’

12. Module – 7
Subsetting Matrices
Subset Element
Subset Multiple
Elements
Subset by Name
Subset by Logicals
Subsetting Cautions

13. Module - 8
Matrix Arithmetic
Matrix Arithmetic
‘lotr_matrix’
Matrix – Scalar
Matrix – Matrix
Recycling
Matrix Multiplication
Matrices and Vectors

14. Module - 9
Factors
Categorical Variables
Create Vector:
factor( )
Order Levels
Differently
Rename Factor Levels
Nominal versus Ordinal
Ordered Vector
Wrap Up

15. Module - 10
Create and Name Lists
Vector - Matrix - List
Create a List
‘list ( )’
Name List
‘str( )’
List in List

16. Module - 11
Subset And Extend List
Subsetting Lists
‘[’ versus ‘[[’
Subset by Names
Subset by Logicals
‘$’ and Extending
Extending Lists
Wrap UP