Learn · Foundations of R Software
Lecture 27 of 54Week 7
Lecture 26: More Sequences and Other Operations
Prof. Shalabh · IIT Kanpur
Credits and licence
- From
- Foundations of R Software, IIT Kanpur (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- Teens profiles and older. How courses are placed
All the lectures
- Lecture 0: How to Learn and Follow the Course
- Lecture 1: Why R and Installation Procedure
- Lecture 2: Help, Demonstration, and Examples in R
- Lecture 3: Packages and Libraries in R
- Lecture 4: Command Line and Data Editor
- Lecture 5: Introduction to R Studio
- Lecture 6: Basic Operations in R
- Lecture 7: Some More Basic Operations in R
- Lecture 8: R as a Calculator with Scalars and Data Vectors : Addition, Subtraction, Multiplication & Division
- Lecture 9: Calculations with Data Vectors : Addition, Subtraction, Multiplication & Division
- Lecture 10: R as a Calculator with Scalars and Data Vectors : Power operations, Integer and Modulo divisions
- Lecture 11: Built in Functions and Assignments
- Lecture 12: Matrices
- Lecture 13: Matrix Operations – Row, Column & Other Operations
- Lecture 14: Matrix Operations – Access and Mathematical Operations
- Lecture 15: Matrix Operations – Mathematical and Other Operations
- Lecture 16: Logical Operators
- Lecture 17: Relational and Logical Operators
- Lecture 18: Missing Data Handling
- Lecture 19: Conditional Executions – If and If‐Else
- Lecture 20: Conditional Executions – Nested if else if and ifelse
- Lecture 21: Functions for Conditional Executions – switch and which commands
- Lecture 22: Loops – "for" loop
- Lecture 23: Loops – "while" and "repeat"
- Lecture 24: Functions
- Lecture 25: Sequences
- Lecture 26: More Sequences and Other Operations
- Lecture 27: Sequences of Dates and Alphabets
- Lecture 28: Repeats
- Lecture 29: Sorting, Ordering and Mode
- Lecture 30: Lists
- Lecture 31: Operations on Lists
- Lecture 32: Vector Indexing
- Lecture 33: Factors
- Lecture 34: Factors – Class and Unclass
- Lecture 35: Print and Format Function
- Lecture 36: Print and Format with Concatenate
- Lecture 37: Paste Function
- Lecture 38: String Splitting
- Lecture 39: Manipulations with Strings and Alphabets
- Lecture 40: Substitution and Replacement of Strings
- Lecture 41: Data Frames
- Lecture 42: Data Frames: Creation and Operations
- Lecture 43: Data Frames: Some More Operations
- Lecture 44: Data Frames: Combining and Merging
- Lecture 45: Importing and Reading CSV and Tabular Data Files
- Lecture 46: Importing and Reading EXCEL and other Data Files
- Lecture 47: Saving and Writing Data Files
- Lecture 48: Introduction, Frequencies and Partition Values
- Lecture 49: Scatter Plot and Bar Plots
- Lecture 50: Sub‐Divided Bar Plots and Pie Diagram
- Lecture 51: Histogram
- Lecture 52: Bivariate and Three Dimensional Scatter Plots
- Lecture 53: Some Examples of R Programming