Course Content
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Installing R on a Mac
01:45
Installing R on a Mac
01:45
Installing R on Windows
01:45
Installing R on Windows
01:45
Writing Code: Setting Your Working Directory (Windows)
01:45
Introduction
01:45
Writing Code: Setting Your Working Directory (Mac)
01:45
Overview and History of R
01:45
Getting Help
01:45
R Console Input and Evaluation
01:45
Data Types: R Objects and Attributes
01:45
Data Types: Vectors and Lists
01:45
Data Types: Matrices
01:45
Data Types: Factors
01:45
Data Types: Missing Values
01:45
Data Types: Data Frames
01:45
Data Types: Names Attribute
01:45
Data Types: Summary
01:45
Reading Tabular Data
01:45
Reading Large Tables
01:45
Textual Data Formats
01:45
Connections: Interfaces to the Outside World
01:45
Subsetting Basics
01:45
Subsetting Lists
01:45
Subsetting Matrices
01:45
Subsetting: Partial Matching
01:45
Subsetting: Removing Missing Values
01:45
Vectorized Operations
01:45
Control Structures: Introduction
01:45
Introduction to swirl
01:45
Control Structures: If-Else
01:45
Control Structures: For Loops
01:45
Control Structures: While Loops
01:45
Control Structures: Repeat, Next, Break
01:45
Your First R Function
01:45
Functions: Part 1
01:45
Functions: Part 2
01:45
Scoping Rules: Symbol Binding
01:45
Scoping Rules: R Scoping Rules
01:45
Scoping Rules: Optimization Example (OPTIONAL)
01:45
Coding Standards
01:45
Dates and Times
01:45
Loop Functions: lapply
01:45
Loop Functions: apply
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Loop Functions: mapply
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Loop Functions: tapply
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Loop Functions: split
01:45
Debugging Tools: Diagnosing the Problem
01:45
Debugging Tools: Basic Tools
01:45
Debugging Tools: Basic Tools II
01:45
The str Function
01:45
Simulation: Generating Random Numbers
01:45
Simulation: Simulating a Linear Model
01:45
Simulation: Random Sampling
01:45
R Profiler: Part 1
01:45
R Profiler: Part 2
01:45
Final Exam - Mastering R Programming with Roger Peng
Mastering R Programming with Roger Peng

Get a comprehensive summary of the different data types in R.

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