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R Programming Training: Introduction to R Programming for Programmers

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Course Number: RPROG-102
Duration: 3 days
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Looking for R Programming training for non-programmers?

R Programming Training Overview

Accelebrate's Introduction to R Programming for Programmers training course teaches programmers how to use R programming to compute statistics and generate charts, graphs, and other data representations.

Location and Pricing

Most Accelebrate courses are taught on-site at our clients' locations worldwide for groups of 3 or more attendees and are customized to their specific needs. Please visit our client list to see organizations for whom we have recently delivered training. These courses can also be delivered as live, private online classes for groups that are geographically dispersed or wish to save on the instructor's or students' travel expenses. To receive a customized proposal and price quote private training at your site or online, please contact us.

R Programming Training Prerequisites

Students should have knowledge of basic statistics (t-test, chi-square-test, regression) and know the difference between descriptive and inferential statistics. In addition, all students should have prior day-to-day programming experience.

Hands-on/Lecture Ratio

This R Programming training class is 70% hands-on, 30% lecture, with the longest lecture segments lasting for 15 minutes. Students "learn by doing," with immediate opportunities to apply the material they learn to real-world problems.

R Programming Training Materials

All R Programming training students receive a copy of No Starch Press' The Art of R Programming: A Tour of Statistical Software Design and related courseware.

Software Needed on Each Student PC

The following should be installed on each student PC:

  • R 2.15 or later with console
  • IDE or text editor of your choice

R Programming Training Objectives

All attendees will:

  • Master the use of the R Console
  • Learn R flow control and data structures
  • Use vectorized calculations
  • Write R functions
  • Understand basic R graphics
  • Be familiar with advanced graphics (Lattice, GGplot2)
  • Discover how to install R packages
  • Explore the R documentation
  • Learn to avoid R pitfalls
  • Use R for descriptive statistics
  • Use R for confirmatory/inferential statistics
  • Write R statistical models

R Programming Training Outline

  • Overview
    • History of R
    • Advantages and disadvantages
    • Downloading and installing
    • How to find documentation
  • Introduction
    • Using the R console
    • Getting help
    • Learning about the environment
    • Writing and executing scripts
    • Saving your work
  • Data Structures, Variables
    • Variables and assignment
    • Data types
    • Indexing, subsetting
    • Viewing data and summaries
    • Functions
    • Naming conventions
    • Objects
    • Models
    • Graphics
  • Control Flow
    • Truth testing
    • Branching
    • Looping
    • Vectorized calculations
  • Functions
    • Parameters
    • Return values
    • Variable scope
    • Exception Handling
  • Getting Data into the R environment
    • Builtin data
    • Reading local data
    • Web data
  • Overview of Statistics in R
    • Introduction to R Graphics
    • Model notation
  • Descriptive statistics
    • Continuous data
      • Scatter plot
      • Box plot
    • Categorical data
      • Mosaic plot
    • Correlation
  • Inferential statistics
    • T-test and non-parametric equivalents
    • Chi-squared test, logistic regression
    • Distribution testing
    • Power testing
  • Linear Regression
    • Linear models
    • Regression plots
    • ANOVA
  • Other Topics
    • Classification
    • Clustering
    • Time series
    • Dimensionality reduction
    • Machine Learning
  • Object Oriented R
    • Generic functions
    • S3/S4 classes
  • Installing Packages
    • Finding resources
    • Installing resources
  • More about Graphics
    • Labels
    • Exporting graphics
  • Sophisticated Graphics in R
    • Lattice
    • GGplot2
    • Interactive graphics
    • Animated GIF
    • rGGobi
  • R for Mapping and GIS
    • Choropleth maps
    • Layers
  • Conclusion
 

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Accelebrate’s courses are taught for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us via information request form or phone, or email us at info@accelebrate.com today.

               
                 

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“Accelebrate,” “Accelerated Learning Celebrated Results,” and the Accelebrate logo are registered trademarks of Accelebrate, Inc. All other product names and trademarks are property of their respective owners. Course outline content may mirror or be derived from the book that each student receives with the course. Otherwise, all content is copyright © 2003- by Accelebrate, Inc. of Atlanta, Georgia, USA. To contact us, please use the contact form, email info@accelebrate.com us, or call 1 877 849 1850 in the US and Canada, 0808 234 2132 in the UK, 1 800 550 311 in Ireland, or +1 678 648 3113 from all other locations.

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