Math 2.0

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Foundations of R Software Z60D6XQ32F

URIm2://res/Z60D6XQ32F
Kindcourse
CreatorsShalabh (instructor)
Date2022-07-24
Scopein
Idscourse 05pjsgx75:111104160

Expressions

e1: edition

Languageen
Date2022-07-24
Contents
  • part 1: Week 1
  • session 1: Lecture 0: How to Learn and Follow the Course
  • session 2: Lecture 1: Why R and Installation Procedure
  • session 3: Lecture 2: Help, Demonstration, and Examples in R
  • session 4: Lecture 3: Packages and Libraries in R
  • session 5: Lecture 4: Command Line and Data Editor
  • part 2: Week 2
  • session 6: Lecture 5: Introduction to R Studio
  • session 7: Lecture 6: Basic Operations in R
  • session 8: Lecture 7: Some More Basic Operations in R
  • session 9: Lecture 8: R as a Calculator with Scalars and Data Vectors : Addition, Subtraction, Multiplication & Division
  • part 3: Week 3
  • session 10: Lecture 9: Calculations with Data Vectors : Addition, Subtraction, Multiplication & Division
  • session 11: Lecture 10: R as a Calculator with Scalars and Data Vectors : Power operations, Integer and Modulo divisions
  • session 12: Lecture 11: Built in Functions and Assignments
  • session 13: Lecture 12: Matrices
  • part 4: Week 4
  • session 14: Lecture 13: Matrix Operations – Row, Column & Other Operations
  • session 15: Lecture 14: Matrix Operations – Access and Mathematical Operations
  • session 16: Lecture 15: Matrix Operations – Mathematical and Other Operations
  • session 17: Lecture 16: Logical Operators
  • session 18: Lecture 17: Relational and Logical Operators
  • part 5: Week 5
  • session 19: Lecture 18: Missing Data Handling
  • session 20: Lecture 19: Conditional Executions – If and If‐Else
  • session 21: Lecture 20: Conditional Executions – Nested if else if and ifelse
  • session 22: Lecture 21: Functions for Conditional Executions – switch and which commands
  • part 6: Week 6
  • session 23: Lecture 22: Loops – "for" loop
  • session 24: Lecture 23: Loops – "while" and "repeat"
  • session 25: Lecture 24: Functions
  • session 26: Lecture 25: Sequences
  • part 7: Week 7
  • session 27: Lecture 26: More Sequences and Other Operations
  • session 28: Lecture 27: Sequences of Dates and Alphabets
  • session 29: Lecture 28: Repeats
  • session 30: Lecture 29: Sorting, Ordering and Mode
  • session 31: Lecture 30: Lists
  • part 8: Week 8
  • session 32: Lecture 31: Operations on Lists
  • session 33: Lecture 32: Vector Indexing
  • session 34: Lecture 33: Factors
  • session 35: Lecture 34: Factors – Class and Unclass
  • session 36: Lecture 35: Print and Format Function
  • part 9: Week 9
  • session 37: Lecture 36: Print and Format with Concatenate
  • session 38: Lecture 37: Paste Function
  • session 39: Lecture 38: String Splitting
  • session 40: Lecture 39: Manipulations with Strings and Alphabets
  • part 10: Week 10
  • session 41: Lecture 40: Substitution and Replacement of Strings
  • session 42: Lecture 41: Data Frames
  • session 43: Lecture 42: Data Frames: Creation and Operations
  • session 44: Lecture 43: Data Frames: Some More Operations
  • session 45: Lecture 44: Data Frames: Combining and Merging
  • part 11: Week 11
  • session 46: Lecture 45: Importing and Reading CSV and Tabular Data Files
  • session 47: Lecture 46: Importing and Reading EXCEL and other Data Files
  • session 48: Lecture 47: Saving and Writing Data Files
  • session 49: Lecture 48: Introduction, Frequencies and Partition Values
  • session 50: Lecture 49: Scatter Plot and Bar Plots
  • part 12: Week 12
  • session 51: Lecture 50: Sub‐Divided Bar Plots and Pie Diagram
  • session 52: Lecture 51: Histogram
  • session 53: Lecture 52: Bivariate and Three Dimensional Scatter Plots
  • session 54: Lecture 53: Some Examples of R Programming

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