Course11110410045 lectures
Introduction to R Software
Prof. Shalabh · IIT Kanpur
Lectures
Week: 1
- How to Learn and Follow the Course
- Lecture 01 - Why R and Installation Procedure
- Lecture 02 : Introduction _Help_ Demo examples_ packages_ libraries
- Lecture 03 : Introduction _Command line_ Data editor _ Rstudio
- Lecture 04 : Basics in Calculations
- Lecture 05 : Basics of Calculations _ Calculator _Built in Functions Assignments
Week 2 - Use of R as a calculator, functions and matrix operations, missing data and logical operato
- Lecture 06 : Basics of Calculations _Functions _Matrices
- Lecture 07 - Basics Calculations: Matrix Operations
- Lecture 08 - Basic calculations: Matrix operations
- Lecture 09 - Basic calculations: Missing data and logical operators
- Lecture 10 - Basic calculations: Logical operators
- Lecture - 11 Basics calculations: Truth table and conditional executions
Week 3 - Conditional executions and loops, data management with sequences.
- Lecture 12 - Basics calculations: Conditional executions and loops
- Lecture 13 - Basics calculations: Loops
- Lecture 14 - Data managment: Sequences
- Lecture 15 - Data management : sequences
- Lecture 16 - Data management : Repeats
- Lecture 17 - Data management : Sorting and Ordering
Week 4 - Data management with repeats, sorting, ordering, and lists
- Lecture 18 - Data management : Lists
- Lecture 19 - Data management: Lists (continued)
- Lecture 20 - Data management : Vector indexing
- Lecture 21 - Data management : Vector Indexing (continued)
- Lecture 22 - Data management: Factors
- Lecture 23 - Data management: factors (continued)
Week 5 - Vector indexing, factors, Data management with strings, display and formatting.
- Lecture 24: Strings -Display and Formatting, Print and Format Functions
- Lecture 25 : Strings - Display and Formatting, Print and Format with Concatenate
- Lecture 26 : Strings - Display and Formatting, Paste Function
- Lecture 27 : Strings - Display and Formatting, Splitting
- Lecture 28 : Strings - Display and Formatting, Replacement_ Manipulations _Alphabets
- Lecture 29 : Strings - Display and Formatting, Replacement and Evaluation of Strings
Week 6 - Data management with display paste, split, find and replacement, manipulations with alphabe
- Lecture 30 : Data frames
- Lecture 31 : Data frames (Continued )
- Lecture 32 : Data frames (Continued)
- Lecture 33 : Data Handling - Importing CSV and Tabular Data Files
- Lecture 34: Data Handling - Importing Data Files from Other Software
Week 7 - Data frames, import of external data in various file formats, statistical functions, compil
- Lecture 35 : Statistical Functions : Frequency and Partition values
- Lecture 36 : Statistical Functions - Graphics and Plots
- Lecture 37 : Statistical Functions - Central Tendency and Variation
- Lecture 38 : Statistical Functions - Boxplots, Skewness and Kurtosis
Week 8 - Graphics and plots, statistical functions for central tendency, variation, skewness and kur
- Lecture 39 : Statistical Functions - Bivariate three dimensional plot.
- Lecture 40 : Statistical Functions - Correlation and Examples of Programming
- Lecture 41: Examples of Programming
- Lecture 42 : Examples of More Programming
Live Session
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Kanpur
- Department
- Mathematics
- Teacher
- Prof. Shalabh
- Level
- Undergraduate
- Language
- English
- Subjects
- Mathematics
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed
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