Author: eddy on 16-11-2016, 16:41
The Comprehensive Programming in R Course

The Comprehensive Programming in R Course
WEBRip | English | MP4 | 1280 x 720 | AVC ~799 kbps | 30 fps
AAC | 64 Kbps | 44.1 KHz | 2 channels | 22:56:53 | 8.1 GB
Genre: eLearning Video / Business, Data Analysis

The Comprehensive Programming in R Course is actually a combination of two R programming courses that together comprise a gentle, yet thorough introduction to the practice of general-purpose application development in the R environment. The original first course (Sections 1-8) consists of approximately 12 hours of video content and provides extensive example-based instruction on details for programming R data structures.
The original second course (Sections 9-14), an additional 12 hours of video content, provides a comprehensive overview on the most important conceptual topics for writing efficient programs to execute in the unique R environment. Participants in this comprehensive course may already be skilled programmers (in other languages) or they may be complete novices to R programming or to programming in general, but their common objective is to write R applications for diverse domains and purposes. No statistical knowledge is necessary. These two courses, combined into one course here on Udemy, together comprise a thorough introduction to using the R environment and language for general-purpose application development.

The Comprehensive Programming in R Course (Sections 1-8) presents an detailed, in-depth overview of the R programming environment and of the nature and programming implications of basic R objects in the form of vectors, matrices, dataframes and lists. The Comprehensive Programming in R Course (Sections 9-14) then applies this understanding of these basic R object structures to instruct with respect to programming the structures; performing mathematical modeling and simulations; the specifics of object-oriented programming in R; input and output; string manipulation; and performance enhancement for computation speed and to optimize computer memory resources.


├── 01 Introduction and Overview of R
│ ├── 001 Introduction to Comprehensive R Programming Course.mp4
│ ├── 002 Introduction and Getting Started.mp4
│ ├── 003 Getting Started and First R Session.mp4
│ ├── 004 First R Session part 2.mp4
│ ├── 005 First R Session part 3.mp4
│ ├── 006 Matrices, Lists and Dataframes.mp4
│ ├── 007 Introduction to Functions.mp4
│ ├── 008 Functions and Default Arguments.mp4
│ ├── 009 More Examples of Functions part 1.mp4
│ ├── 010 More Functions Examples part 2.mp4
│ ├── 011 More Functions Examples part 3.mp4
│ ├── 012 More Functions Examples part 4.mp4
│ ├── 013 More Functions Examples part 5.mp4
│ └── 014 More Functions Examples part 6.mp4
├── 02 What are Vector Data Structures in R
│ ├── 001 Homemade t-test Exercise Solution.mp4
│ ├── 002 Section 2 Exercise and Package Demonstrations.mp4
│ ├── 003 Begin Discussion of Vectors.mp4
│ ├── 004 More Examples of Vectors.mp4
│ ├── 005 Common Vector Operations and More.mp4
│ └── 006 Findruns Example and Vectors Exercises.mp4
├── 03 More Discussion of Vector Data Structures
│ ├── 001 Vector-Based Programming Exercise Solution part 1.mp4
│ ├── 002 Vector Exercise Solution part 2 and Begin General Vector Discussion.mp4
│ ├── 003 Continue General Vector Discussion.mp4
│ ├── 004 More General Vector Examples.mp4
│ ├── 005 More on Vectors and Vector Equality.mp4
│ └── 006 Extended Vector Example and Exercise.mp4
├── 04 Finish Vectors and Begin Matrices
│ ├── 001 Finish Vector Discussion.mp4
│ ├── 002 Vector-Maker Exercise Solutions.mp4
│ ├── 003 Begin Discussion of Matrices and Arrays.mp4
│ ├── 004 Filtering Matrices and More Examples.mp4
│ └── 005 Still More Matrices Examples.mp4
├── 05 Finish Matrices and Begin Lists Discussion
│ ├── 001 Min-Merge Vector Exercise Solutions.mp4
│ ├── 002 Game of Craps Exercise Solution.mp4
│ ├── 003 Naming Matrix Rows and Columns.mp4
│ ├── 004 Lists General List Operations.mp4
│ ├── 005 Processing Text with Lists.mp4
│ ├── 006 Applying Functions to Lists.mp4
│ └── 007 Vector and Matrix Exercise.mp4
├── 06 Continue Lists Discussion
│ ├── 001 Review Programming Exercises.mp4
│ ├── 002 Finish Programming Exercise Review and Begin Discussing Lists.mp4
│ ├── 003 List Data Structures General Discussion part 2.mp4
│ ├── 004 List Data Structures General Discussion part 3.mp4
│ └── 005 Lists Data Structures General Discussion part 4.mp4
├── 07 Details About Dataframe Data Structures
│ ├── 001 Dataframe-Maker Exercise.mp4
│ ├── 002 List-Maker Exercise Begin General Dataframe Discussion.mp4
│ ├── 003 Extracting Subdata Frames.mp4
│ ├── 004 A Salary Survey Extended Example.mp4
│ ├── 005 Merging Dataframes.mp4
│ └── 006 End Dataframes Discussion Matrix Exercise.mp4
├── 08 More Matrix and List Examples
│ ├── 001 Covariance Matrix Exercise Solution.mp4
│ ├── 002 List Example Tree Growth part 1.mp4
│ ├── 003 List Example Tree Growth part 2.mp4
│ ├── 004 Factor Data Types.mp4
│ ├── 005 Factors tapply and split Functions.mp4
│ ├── 006 Factor Levels versus Values.mp4
│ └── 007 Pascals Triangle Exercise.mp4
├── 09 Programming in R Environments
│ ├── 001 Pascals Triangle Exercise Solution.mp4
│ ├── 002 Begin Programming Structures.mp4
│ ├── 003 Environment and Scope Issues.mp4
│ ├── 004 Nesting Multiple Environments.mp4
│ ├── 005 Referencing Variables in Other Frames.mp4
│ ├── 006 Writing to Global Variables and Recursion.mp4
│ ├── 007 Replacement and Anonymous Functions.mp4
│ └── 008 Sorting Programs Exercise.mp4
├── 10 Performing Math and Simulations
│ ├── 001 Sorting Programs Exercise Solution part 1.mp4
│ ├── 002 Sorting Programs Exercise Solution part 2.mp4
│ ├── 003 Calculating a Probability.mp4
│ ├── 004 Linear Algebra Operations.mp4
│ ├── 005 Set Operations and Simulation.mp4
│ ├── 006 Combinatorial Simulations part 1.mp4
│ ├── 007 Combinatorial Simulations part 2.mp4
│ └── 008 Winning at Roulette Exercise.mp4
├── 11 Object Oriented Programming OOP and S3 and S4 Classes
│ ├── 001 Winning at Roulette Exercise solution.mp4
│ ├── 002 Introduction to OOP in R.mp4
│ ├── 003 OOP Example lm Function.mp4
│ ├── 004 Writing S3 Classes.mp4
│ ├── 005 Using Inheritance.mp4
│ ├── 006 Compressing Matrices Example part 1.mp4
│ ├── 007 Compressing Matrices Example part 2.mp4
│ ├── 008 Writing S3 Classes Exercise.mp4
│ ├── 009 Writing S4 Classes.mp4
│ ├── 010 Implementing S4 Generic Functions.mp4
│ ├── 011 Writing S4 Classes Exercise.mp4
│ ├── 012 Live S3 and S4 Class Development.mp4
│ ├── 013 Continue S3 Class Development.mp4
│ └── 014 Developing a Corresponding S4 Class.mp4
├── 12 Input and Output
│ ├── 001 Writing S3 Classes Exercise Solution.mp4
│ ├── 002 Writing S4 Classes Exercise Solution.mp4
│ ├── 003 Using the scan Function for Input.mp4
│ ├── 004 Using the readline, cat and print Functions.mp4
│ ├── 005 Using readLines Function Text Data.mp4
│ ├── 006 Example R Program powers.R.mp4
│ ├── 007 Example R Program quad2b.R.mp4
│ ├── 008 Reading and Writing Files part 1.mp4
│ └── 009 Reading and Writing Files part 2.mp4
├── 13 String Processing and Manipulation
│ ├── 001 Character and String Manipulation.mp4
│ ├── 002 Displaying and Concatenating Strings part 1.mp4
│ ├── 003 Displaying and Concatenating Strings part 2.mp4
│ ├── 004 Manipulating Parts of a String.mp4
│ ├── 005 Breaking Apart Character Values.mp4
│ ├── 006 Regular Expressions slides.mp4
│ ├── 007 Regular Expression Examples R scripts, part 1.mp4
│ ├── 008 Regular Expression Examples R scripts, part 2.mp4
│ ├── 009 The Regexpr and Gregexpr Functions part 1.mp4
│ ├── 010 The Regexpr and Gregexpr Functions part 2.mp4
│ ├── 011 Testing a Filename for a Suffix.mp4
│ ├── 012 Forming Filenames Example.mp4
│ ├── 013 Substitutions and Tagging.mp4
│ └── 014 Reverse String Exercise.mp4
└── 14 Enhancing Program Execution Performance
└── 002 Enhancing Performance.mp4

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