Introduction to R Software

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Course overview

Curriculum for this course

43 Lessons 20:48:51 Hours

Lecture

43 Lessons 20:48:51 Hours

How to Learn and Follow the Course
00:07:23
Why R and Installation Procedure
00:22:32
Introduction _Help_ Demo examples_ packages_ libraries
00:31:38
Introduction _Command line_ Data editor _ Rstudio
00:45:20
Basics in Calculations
00:39:52
Basics of Calculations _ Calculator _Built in Functions Assignments
00:20:53
Basics of Calculations _Functions _Matrices
00:27:04
Basics Calculations: Matrix Operations
00:25:41
Basics Calculations Matrix Operations contd
00:26:09
Basic calculations: Missing data and logical operators
00:29:26
Basic calculations: Logical operators
00:26:03
Basics calculations: Truth table and conditional executions
00:25:20
Basics calculations: Conditional executions and loops
00:28:50
Basics calculations: Loops
00:20:08
Data managment: Sequences
00:29:13
Data management : sequences contd
00:35:21
Data management : Repeats
00:31:58
Data management : Sorting and Ordering
00:20:32
Data management : Lists
00:25:31
Data management: Lists (continued)
00:23:38
Data management : Vector indexing
00:36:36
Data management : Vector Indexing (continued)
00:29:30
Data management: Factors
00:33:39
Data management: factors (continued)
00:28:09
Strings -Display and Formatting, Print and Format Functions
00:21:57
Strings - Display and Formatting, Print and Format with Concatenate
00:22:06
Strings - Display and Formatting, Paste Function
00:27:10
Strings - Display and Formatting, Splitting
00:16:11
Strings - Display and Formatting, Replacement_ Manipulations _Alphabets
00:31:52
Strings - Display and Formatting, Replacement and Evaluation of Strings
00:30:59
Data frames
00:32:51
Data frames (Continued )
00:25:38
Data frames (Continued)
00:28:41
Data Handling - Importing CSV and Tabular Data Files
00:33:55
Data Handling - Importing Data Files from Other Software -- old version
00:41:05
Statistical Functions : Frequency and Partition values
00:31:43
Statistical Functions - Graphics and Plots
00:30:19
Statistical Functions - Central Tendency and Variation
00:34:15
Statistical Functions - Boxplots, Skewness and Kurtosis
00:35:51
Statistical Functions bivariate three dimensional plot
00:34:27
Statistical Functions - Correlation and Examples of Programming
00:28:00
Examples of Programming
00:43:54
Examples of More Programming
00:27:31