Math 2.0

Resources / course

Introduction to R Software QA5N2826BW

URIm2://res/QA5N2826BW
Kindcourse
CreatorsShalabh (instructor)
Date2017-06-02
Scopein
Idscourse 05pjsgx75:111104100

Expressions

e1: edition

Languageen
Date2017-06-02
Contents
  • part 1: Week: 1
  • session 1: How to Learn and Follow the Course
  • session 2: Lecture 01 - Why R and Installation Procedure
  • session 3: Lecture 02 : Introduction _Help_ Demo examples_ packages_ libraries
  • session 4: Lecture 03 : Introduction _Command line_ Data editor _ Rstudio
  • session 5: Lecture 04 : Basics in Calculations
  • session 6: Lecture 05 : Basics of Calculations _ Calculator _Built in Functions Assignments
  • part 2: Week 2 - Use of R as a calculator, functions and matrix operations, missing data and logical operato
  • session 7: Lecture 06 : Basics of Calculations _Functions _Matrices
  • session 8: Lecture 07 - Basics Calculations: Matrix Operations
  • session 9: Lecture 08 - Basic calculations: Matrix operations
  • session 10: Lecture 09 - Basic calculations: Missing data and logical operators
  • session 11: Lecture 10 - Basic calculations: Logical operators
  • session 12: Lecture - 11 Basics calculations: Truth table and conditional executions
  • part 3: Week 3 - Conditional executions and loops, data management with sequences.
  • session 13: Lecture 12 - Basics calculations: Conditional executions and loops
  • session 14: Lecture 13 - Basics calculations: Loops
  • session 15: Lecture 14 - Data managment: Sequences
  • session 16: Lecture 15 - Data management : sequences
  • session 17: Lecture 16 - Data management : Repeats
  • session 18: Lecture 17 - Data management : Sorting and Ordering
  • part 4: Week 4 - Data management with repeats, sorting, ordering, and lists
  • session 19: Lecture 18 - Data management : Lists
  • session 20: Lecture 19 - Data management: Lists (continued)
  • session 21: Lecture 20 - Data management : Vector indexing
  • session 22: Lecture 21 - Data management : Vector Indexing (continued)
  • session 23: Lecture 22 - Data management: Factors
  • session 24: Lecture 23 - Data management: factors (continued)
  • part 5: Week 5 - Vector indexing, factors, Data management with strings, display and formatting.
  • session 25: Lecture 24: Strings -Display and Formatting, Print and Format Functions
  • session 26: Lecture 25 : Strings - Display and Formatting, Print and Format with Concatenate
  • session 27: Lecture 26 : Strings - Display and Formatting, Paste Function
  • session 28: Lecture 27 : Strings - Display and Formatting, Splitting
  • session 29: Lecture 28 : Strings - Display and Formatting, Replacement_ Manipulations _Alphabets
  • session 30: Lecture 29 : Strings - Display and Formatting, Replacement and Evaluation of Strings
  • part 6: Week 6 - Data management with display paste, split, find and replacement, manipulations with alphabe
  • session 31: Lecture 30 : Data frames
  • session 32: Lecture 31 : Data frames (Continued )
  • session 33: Lecture 32 : Data frames (Continued)
  • session 34: Lecture 33 : Data Handling - Importing CSV and Tabular Data Files
  • session 35: Lecture 34: Data Handling - Importing Data Files from Other Software
  • part 7: Week 7 - Data frames, import of external data in various file formats, statistical functions, compil
  • session 36: Lecture 35 : Statistical Functions : Frequency and Partition values
  • session 37: Lecture 36 : Statistical Functions - Graphics and Plots
  • session 38: Lecture 37 : Statistical Functions - Central Tendency and Variation
  • session 39: Lecture 38 : Statistical Functions - Boxplots, Skewness and Kurtosis
  • part 8: Week 8 - Graphics and plots, statistical functions for central tendency, variation, skewness and kur
  • session 40: Lecture 39 : Statistical Functions - Bivariate three dimensional plot.
  • session 41: Lecture 40 : Statistical Functions - Correlation and Examples of Programming
  • session 42: Lecture 41: Examples of Programming
  • session 43: Lecture 42 : Examples of More Programming
  • part 9: Live Session
  • session 44: Live Session 21-10-2020
  • session 45: Live Session 04-11-2019

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