2016
O'Reilly
04:20:41
English
In this Learning R training course, expert author Stuart Greenlee will teach you how to use R, a programming language used for statistical computing and graphics. This course is designed for beginners that have no previous R programming experience. You will require a fundamental understanding of statistics to get the most out of this course.
You will start by learning how to install and navigate R studio, then move into learning basic operations like statistical functions, matrix operations, and string functions. Stuart will show you how to plot, including scatter plots, probability plots, and plotting arguments. This video tutorial will cover working with data and data analysis, such as extracting model information, examining files and objects, and subsetting and indexing. You will also learn about conditional statements and user-defined functions, including how to write and de-bug functions. Finally, you will learn how to save different types of data.
Once you have completed this computer based training course, you will be fully capable of using R for developing statistical software and data analysis tools. Working files are included, allowing you to follow along with the author throughout the lessons.
01. Introduction
Introduction And Course Overview
About The Author
Installing R And R Studio
Navigating R Studio
Packages
Assigning Variables
Numbers, Strings, And Booleans
Workspace Operations
0109 How To Access Your Working Files
02. Basic Operations And Manipulations
Basic Operators
Vectors
Sequences
Basic Statistical Functions
Matrices
Matrix Operations
Basic Matrix Statistics
Generating Random Numbers
String Functions
Dates And Times
03. Plotting
0301 Line Plots
0302 Plotting Arguments
0303 Bar Graphs And Histograms
0304 Scatter Plots
0305 Probability Plots
0306 Combining And Saving Plots
04. Working With Data
0401 Arrays
0402 Lists
0403 Data Frames
0404 Data Import
0405 Missing Data - Part 1
0406 Missing Data - Part 2
0407 Ordering And Sorting
0408 Subsetting And Indexing
0409 Merging Data
0410 Examining Files And Objects
05. Data Analysis
0501 Descriptive Statistics
0502 Apply Functions
0503 Linear Models
0504 Extracting Model Information
0505 Principal Componant Analysis
06. Time Series Data
0601 XTS Objects
0602 ACF Plots
0603 Decomposition
0604 Exponential Smoothing
0605 Rolling Functions
0606 ARIMA Models
07. Conditional Statements And Loops
0701 If Statements
0702 For Loops
0703 While Loops
0704 Appending Loops
08. User-Defined Functions
0801 Writing Functions
0802 Debugging Functions
0803 Recursive Functions
09. Saving Data
0901 Saving Different Types Of Data
0902 Additional Resources
www.infiniteskills.com/training/learning-to-program-with-r.html
Download File Size:587.55 MB
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