Shalabh
shalab@iitk.ac.in
shalabh1@yahoo.com
Department of Mathematics & Statistics
Indian
Introduction to R Software
Swayam Prabha Course
Suggested books:
1. Introduction to Statistics and Data Analysis - With Exercises, Solutions and Applications in R By Christian Heumann, Michael Schomaker and Shalabh, Springer, 2016
2. The R Software-Fundamentals of Programming and Statistical Analysis -Pierre Lafaye de Micheaux, Remy Drouilhet, Benoit Liquet, Springer 2013
3. A Beginner's Guide to R (Use R) By Alain F. Zuur, Elena N. Ieno, Erik H.W.G. Meesters, Springer 2009
Language of the course: Hindi
Duration of the course: 40 Hours
Swayam Prabha DTH Channel 16 Youtube link: The telecasted lectures are available at Youtube (Click here)
Slides and Videos used in the lectures
|
Video Lecture links |
Lecture slides download links |
Lecture Title |
Lecture No. |
|
Click here Lecture 1 |
Click here Lecture 1 |
Why R |
1 |
|
Click here Lecture 2 |
Click here Lecture 2 |
Installation Procedure and How to Start |
2 |
|
Click here Lecture 3 |
Click here Lecture 3 |
Help, Demonstration, and Examples |
3 |
|
Click here Lecture 4 |
Click here Lecture 4 |
Command line, Libraries, Packages and Data Editor |
4 |
|
Click here Lecture 5 |
Click here Lecture 5 |
Introduction to R Studio |
5 |
|
Click here Lecture 6 |
Click here Lecture 6 |
Basics of Calculations and R as a Calculator |
6 |
|
Click here Lecture 7 |
Click here Lecture 7 |
R as a Calculator with Data Vectors |
7 |
|
Click here Lecture 8 |
Click here Lecture 8 |
R as Calculator, Built-in Functions and Assignments |
8 |
|
Click here Lecture 9 |
Click here Lecture 9 |
Functions and Introduction to Matrix |
9 |
|
Click here Lecture 10 |
Click here Lecture 10 |
Matrices |
10 |
|
Click here Lecture 11 |
Click here Lecture 11 |
Matrix Operations |
11 |
|
Click here Lecture 12 |
Click here Lecture 12 |
Matrix Operations and Missing Data |
12 |
|
Click here Lecture 13 |
Click here Lecture 13 |
Missing Data and Logical Operators |
13 |
|
Click here Lecture 14 |
Click here Lecture 14 |
Logical Operators: More Operations |
14 |
|
Click here Lecture 15 |
Click here Lecture 15 |
Truth Table and Conditional Executions |
15 |
|
Click here Lecture 16 |
Click here Lecture 16 |
Loops |
16 |
|
Click here Lecture 17 |
Click here Lecture 17 |
Repeat Loop and Sequences of Numbers |
17 |
|
Click here Lecture 18 |
Click here Lecture 18 |
Sequences of Dates and Alphabets |
18 |
|
Click here Lecture 19 |
Click here Lecture 19 |
Repeats, Sorting and Mode |
19 |
|
Click here Lecture 20 |
Click here Lecture 20 |
Ordering and Lists |
20 |
|
Click here Lecture 21 |
Click here Lecture 21 |
Vector Indexing |
21 |
|
Click here Lecture 22 |
Click here Lecture 22 |
Data Frames |
22 |
|
Click here Lecture 23 |
Click here Lecture 23 |
Data Frames: Creation and Operations |
23 |
|
Click here Lecture 24 |
Click here Lecture 24 |
More Operations on Data Frames |
24 |
|
Click here Lecture 25 |
Click here Lecture 25 |
Display using Print and Format Functions with Concatenate |
25 |
|
Click here Lecture 26 |
Click here Lecture 26 |
Display Strings Using Paste Function and Splitting |
26 |
|
Click here Lecture 27 |
Click here Lecture 27 |
Splitting and Substitution in Strings |
27 |
|
Click here Lecture 28 |
Click here Lecture 28 |
Search in Strings and Other Data Operations |
28 |
|
Click here Lecture 29 |
Click here Lecture 29 |
Factors |
29 |
|
Click here Lecture 30 |
Click here Lecture 30 |
Factors - Examples and Operations |
30 |
|
Click here Lecture 31 |
Click here Lecture 31 |
Importing, Reading and Saving Data Files |
31 |
|
Click here Lecture 32 |
Click here Lecture 32 |
Importing and Reading Data Files |
32 |
|
Click here Lecture 33 |
Click here Lecture 33 |
Introduction and Frequencies |
33 |
|
Click here Lecture 34 |
Click here Lecture 34 |
Partition Values, Graphics and Plots |
34 |
|
Click here Lecture 35 |
Click here Lecture 35 |
Graphics, Plots and Central Tendency of Data |
35 |
|
Click here Lecture 36 |
Click here Lecture 36 |
Central Tendency and Variation in Data |
36 |
|
Click here Lecture 37 |
Click here Lecture 37 |
Boxplots, Skewness and Kurtosis |
37 |
|
Click here Lecture 38 |
Click here Lecture 38 |
Bivariate and Three Dimensional Plots |
38 |
|
Click here Lecture 39 |
Click here Lecture 39 |
Programming in R |
39 |
|
Click here Lecture 40 |
Click here Lecture 40 |
More Examples of Programming |
40 |