R programming for Beginners R programming for data Science
R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. This video is about #R #programming which will help you understand about R and how to use R for #datascience tasks. This R course is very comprehensive, you don't need any prior knowledge of programming to start this course. The following R programming topics has covered in this course:
Table of Contents:
R 1.1 - Initial Setup and Navigation
R 1.2 - Calculations and Variables
R 1.3 - Create and Work With Vectors
R 1.4 - Character and Boolean Vectors
R 1.5 - Vector Arithmetic
R 1.6 - Building and Subsetting Matrices
R 1.7 - Section 1 Review and Help Files
R 2.1 - Loading Data and Working With Data Frames
R 2.2 - Loading Data, Object Summaries, and Dates
R 2.3 - if() Statements, Logical Operators, and the which() Function
R 2.4 - for() Loops and Handling Missing Observations
R 2.5 - Lists
R 3.1 - Managing the Workspace and Variable Casting
R 3.2 - The apply() Family of Functions
R 3.3 - Access or Create Columns in Data Frames, or Simplify a Data
Frame using aggregate()
R 4.1 - Basic Structure of a Function
R 4.2 - Returning a List and Providing Default Argument
R 4.3 - Add a Warning or Stop the Function Execution
R 4.4 - Passing Additional Arguments Using an Ellipsis
R 4.5 - Make a Returned Result Invisible and Build Recursive Functions
R 4.6 - Custom Functions With apply()
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Course developed by: Google Developers
YouTube channel: https://www.youtube.com/channel/UC_x5...
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