Udemy - The Comprehensive Programming in R Course
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Torrent File Content (110 files)
Udemy - The Comprehensive Programming in R Course
09 Programming in R Environments
008 Sorting Programs Exercise.mp4 -
09 Programming in R Environments
008 Sorting Programs Exercise.mp4 -
54.7 MB
007 Replacement and Anonymous Functions.mp4 -
98.53 MB
004 Nesting Multiple Environments.mp4 -
77.21 MB
006 Writing to Global Variables and Recursion.mp4 -
61.47 MB
005 Referencing Variables in Other Frames.mp4 -
61.47 MB
003 Environment and Scope Issues.mp4 -
70.04 MB
002 Begin Programming Structures.mp4 -
74.88 MB
001 Pascals Triangle Exercise Solution.mp4 -
58.66 MB
03 More Discussion of Vector Data Structures
003 Continue General Vector Discussion.mp4 -
003 Continue General Vector Discussion.mp4 -
112.04 MB
002 Vector Exercise Solution part 2 and Begin General Vector Discussion.mp4 -
98.1 MB
001 Vector-Based Programming Exercise Solution part 1.mp4 -
68.15 MB
006 Extended Vector Example and Exercise.mp4 -
99.26 MB
004 More General Vector Examples.mp4 -
75.28 MB
005 More on Vectors and Vector Equality.mp4 -
109.77 MB
01 Introduction and Overview of R
003 Getting Started and First R Session.mp4 -
003 Getting Started and First R Session.mp4 -
75.25 MB
014 More Functions Examples part 6.mp4 -
31.48 MB
001 Introduction to Comprehensive R Programming Course.mp4 -
8.86 MB
013 More Functions Examples part 5.mp4 -
47.08 MB
006 Matrices, Lists and Dataframes.mp4 -
74.84 MB
010 More Functions Examples part 2.mp4 -
73.99 MB
008 Functions and Default Arguments.mp4 -
73.42 MB
002 Introduction and Getting Started.mp4 -
85.35 MB
012 More Functions Examples part 4.mp4 -
59.76 MB
009 More Examples of Functions part 1.mp4 -
71.84 MB
004 First R Session part 2.mp4 -
65.52 MB
005 First R Session part 3.mp4 -
67.85 MB
007 Introduction to Functions.mp4 -
74.66 MB
011 More Functions Examples part 3.mp4 -
46.54 MB
13 String Processing and Manipulation
004 Manipulating Parts of a String.mp4 -
004 Manipulating Parts of a String.mp4 -
80.06 MB
008 Regular Expression Examples R scripts, part 2.mp4 -
92.64 MB
012 Forming Filenames Example.mp4 -
54.99 MB
007 Regular Expression Examples R scripts, part 1.mp4 -
93.14 MB
009 The Regexpr and Gregexpr Functions part 1.mp4 -
86.15 MB
010 The Regexpr and Gregexpr Functions part 2.mp4 -
56.63 MB
014 Reverse String Exercise.mp4 -
4 KB
001 Character and String Manipulation.mp4 -
39.3 MB
013 Substitutions and Tagging.mp4 -
90.71 MB
006 Regular Expressions slides.mp4 -
63.49 MB
011 Testing a Filename for a Suffix.mp4 -
62.39 MB
003 Displaying and Concatenating Strings part 2.mp4 -
103.66 MB
005 Breaking Apart Character Values.mp4 -
103.08 MB
002 Displaying and Concatenating Strings part 1.mp4 -
69 MB
10 Performing Math and Simulations
008 Winning at Roulette Exercise.mp4 -
008 Winning at Roulette Exercise.mp4 -
43.36 MB
004 Linear Algebra Operations.mp4 -
106.4 MB
006 Combinatorial Simulations part 1.mp4 -
83.07 MB
003 Calculating a Probability.mp4 -
79.12 MB
005 Set Operations and Simulation.mp4 -
101.81 MB
002 Sorting Programs Exercise Solution part 2.mp4 -
91.5 MB
007 Combinatorial Simulations part 2.mp4 -
128.85 MB
001 Sorting Programs Exercise Solution part 1.mp4 -
75.19 MB
Description
Miscellaneous
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.
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