• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
The Analysis Factor

The Analysis Factor

Statistical Consulting, Resources, and Statistics Workshops for Researchers

  • Home
  • Our Programs
    • Membership
    • Online Workshops
    • Free Webinars
    • Consulting Services
  • About
    • Our Team
    • Our Core Values
    • Our Privacy Policy
    • Employment
    • Collaborate with Us
  • Statistical Resources
  • Contact
  • Blog
  • Login

Member Training: R for Menu Users Software Tutorial

by TAF Support

In this nearly 6-hour tutorial you will learn menu-based R libraries so you can use R without having to fuss with R code. These libraries don’t cover everything R can do, but they do quite a bit and can set you up to make running R much easier.

It’s perfect for people who:

  • need to use R because it’s free but prefer menu-based statistical software
  • want to eventually graduate to R programming, but would like a shortcut up the steep learning curve
  • are happy with their current software in general, but once in a while need R to do some seldom-used statistic

This video-based tutorial includes:

  • An overall orientation to R
  • The different R packages available, including what they are and how to install them.
  • How to use R Commander and LessR to read in data files from Excel, Stata, SPSS, etc.
  • How to use R Commander for data preparation, variable creation, graphics, and many common analyses
  • How to use R Commander to learn syntax much like SPSS’s paste syntax capabilities
  • How LessR can simplify scripting in R (i.e., shorten syntax) needed for major analyses of interest like linear regression.

By the end of the tutorial, you will learn enough about R and how to use these free tools to get started with many statistical analyses, without overwhelm, without stress. Even if you’ve never opened R before.

Not a Member? Join!

 

About the Instructor

Trent BuskirkTrent D. Buskirk, PhD, received his PhD in Statistics from Arizona State University with an emphasis in Survey Sampling. Since that time Trent has developed specific expertise in Mobile and Smartphone Survey Designs and in the use of machine learning methods for developing sampling designs and adaptive survey protocols.

Trent currently serves the Director of the Center for Survey Research and as a full professor in the Department of Management Science and Information Systems at the University of Massachusetts Boston.

Trent is currently the Past President of the Midwest Association for Public Opinion and the incoming Conference Chair of the American Association of Public Opinion Research and has recently been named a 2017 Fellow of the American Statistical Association.

When Trent is not working or thinking about surveys, sampling, smartphones and research in general, you can find him playing resident prince to his two princesses or playing an action packed game of pickleball or tennis!

Not a Member Yet?

It’s never too early to set yourself up for successful analysis with support and training from expert statisticians. Just head over and sign up for Statistically Speaking. You'll get access to this training webinar, 100+ other stats trainings, a pathway to work through the trainings that you need — plus the expert guidance you need to build statistical skill with live Q&A sessions and an ask-a-mentor forum.
Getting Started with R
Kim discusses the use of R statistical software for data manipulation, calculation, and graphical display.

Tagged With: menu-based libraries, R software, Statistical Software

Related Posts

  • Member Training: Introduction to SPSS Software Tutorial
  • Member Training: What’s the Best Statistical Package for You?
  • R Is Not So Hard! A Tutorial, Part 7: More Plotting in R
  • The Advantages of RStudio

Primary Sidebar

This Month’s Statistically Speaking Live Training

  • Member Training: Introduction to SPSS Software Tutorial

Upcoming Free Webinars

Poisson and Negative Binomial Regression Models for Count Data

Upcoming Workshops

  • Analyzing Count Data: Poisson, Negative Binomial, and Other Essential Models (Jul 2022)
  • Introduction to Generalized Linear Mixed Models (Jul 2022)

Copyright © 2008–2022 The Analysis Factor, LLC. All rights reserved.
877-272-8096   Contact Us

The Analysis Factor uses cookies to ensure that we give you the best experience of our website. If you continue we assume that you consent to receive cookies on all websites from The Analysis Factor.
Continue Privacy Policy
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Non-necessary
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
SAVE & ACCEPT