Introduction to R

Online Workshop: Introduction to R

Learn the Fundamentals of R: syntax and techniques for data analysis and graphics

Are you ready to learn R?

The open-source R statistics language is used by an estimated five million people.Intro-R-full

R combines a powerful programming language, a comprehensive range of statistical functions, and outstanding graphics. And yes, it’s free.

But R uses command line input, and some people find that intimidating.

Even so, the reward for mastery of R is access to a large and rapidly growing range of abilities that applies to many areas of scientific, statistical, business, and other applications.

This three-session workshop will take you past the intimidation and into clarity. We will clearly illustrate how to perform professional-level data analysis and create superb graphics.

The workshop will get you starting using syntax which you can store, annotate, and adapt to suit your own analyses.

We will cover a wide range of topics, and there will be many opportunities to ask questions.

In this Workshop, you will learn:

This workshop will take place in four two-hour sessions. We will cover the following topics

An Overview of R and How it Works

  1. A first R session: an overview
  2. Reading and writing data files
  3. Important Operations in R
  4. Getting Help in R
  5. Useful Miscellaneous Skills

Working with Data in R

  1. Vectors and Arrays
  2. Defining and working with missing data
  3. Entering data
  4. Finding Counts and Percentages
  5. Ranking, sorting, subsetting, and aggregating data

Descriptive Statistics

  1. Frequency tables
  2. Summary statistics: means, sums, variances, covariances

Statistical Tests

  1. Introduction to Ordinary Least Squares Regression and Pearson correlation
  2. t-tests, Wilcoxon tests, and Binomial tests for comparing two groups
  3. Chi-square and Fisher’s Exact tests for two categorical variables
  4. One-way ANOVA

Graphing

  1. Graphical methods (including scatterplots, bar charts, pie charts, histograms, box plots and dot charts)
  2. Customizing every part of a plot: colors, axes, titles, lines, grids, backgrounds, legends, etc.
  3. Creating more complex plots
  4. Saving plots
Every Live Workshop at The Analysis Factor includes:

✅ 1 year of access to the workshop website
✅ All the data, programming code, exercises and handouts you’ll need
✅ Live webinars and question & answer sessions
✅ Video recordings of all live content for later or repeated review
✅ The opportunity to ask questions live and on workshop web pages

 

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Who is it for?

The workshop is pitched at a level for students and professionals. No prior experience in R is necessary, though you should be familiar with working with data in some software and basic data analysis.

This workshop is for you if you:

  • Wish to learn to use R, and want to expand your knowledge of data analysis and statistical modelling generally.
  • Wish to develop skills in using R.

It is not for you if you:

  • Are a complete beginner in statistics. You should already understand hypothesis testing, descriptive statistics, and basic data manipulation.
  • Have used R extensively and are looking for advanced skills.

Prerequisites:

  • You will get the most out of the workshop if you have some experience in data analysis and have taken introductory statistics.

The workshop is offered as an interactive, live online workshop + Membership Site

You’ll receive:

1. Live Webinar Presentation of Workshop material

David will hold the workshop live via webinar. You attend over the internet, and you will see what is happening on David’s computer screen. Audio is through either your computer speakers/microphone or by telephone.

You can ask questions out loud or write it into the chat, and you never have to leave your house or office.

2. Live Q&A Webinar

After you’ve had about a week to work through all the materials, you have the opportunity to meet David in one of four live Question & Answer webinars.

Bring your questions about the presentation or applying R to your own research.

We encourage you to attend the four Q&A sessions live, but if you have to miss the sessions, they will be recorded and made available within 48 hours on our workshop website. You can still get your questions answered by submitting a question and David will answer later.

We’ve also created a workshop site that you become a member of. For a year.

3. Private workshop website where you can submit questions and get all the workshop materials.

This private website is our home-base for the workshop. It’s where you’ll find everything you need to support your learning:

  • Video Screenshot recordings of each workshop session made available within 48 hours. So you can review the material right away, months later, or while doing the exercises. Or if you need to miss one (or all!) of the live sessions, you can still participate on your own schedule.
  • Data files. You get full access to use the data to try everything on your own.
  • Handouts with all the R code which will be available ahead of each session, on which you can take notes.
  • Exercises. (Yes, homework!). You really need to practice this stuff. Get your hands dirty. So we’re giving you the data to try it on your own with new models to try out. But don’t worry–you won’t be on your own stuck on some coding error that won’t work. You’ll get the code to do the exercises and the answers in case you get stuck.
  • A place to submit written questions between sessions. So as you’re reviewing videos afterward (or if you missed a live session), just submit a question. David will answer it right there on the website.
  • Video Recordings of all Q&A sessions. So if you have to miss one, just submit your questions ahead of time and David will answer in the Q&A. Just watch it later.
  • Bonus videos

You’ll have access for a year to this workshop membership site. So as we add resources, re-record sessions, and answer more questions each time we offer the workshop, you have access to the updated material.

The Instructor:

David Lillis

David Lillis is a professional statistician and researcher. He holds a PhD from Curtin University in Western Australia.

He is owner and Director of Sigma Statistics and Research Limited, a New Zealand based company that provides coding services and training in statistical analysis and especially in R.

 

What Our Students Say About David’s Webinars:

“Very accessible and comprehensive. It provided me with the building blocks to begin using R.”

– Aaron Rosenbaum

“The instructor was great, the topics and tips useful and the confidence I gained through the course will be helpful.”

– Lynn

“David was clear, knowledgeable, and responsive. Great handouts!”

– Anonymous

“For me, it was a good introduction to R, using simpler (well understood) statistical techniques that did not detract from the introduction to R.”

– Martin Watts, PhD

It was great to see someone using R ‘live’ to see how it works.

– Cate Bailey

The explanation was very clear, the topics were useful.

– Jose Hernandez

“Great format, great presenter.”

– Tom Bohon

“I am a new R user; It just gave me another motivation why I need to learn it further. Great work.”

– Essam Alshreafi

“Learned more efficient ways to parse data and evaluate the contents of a given data set. Very nice stuff! Overall, I thought this webinar was very well done. It was informative and moved at a great pace.”

– anon

“More on R from David would be great. His tips were wonderful.”

– Gary Kitchen

Thanks for this, thought it was great and what a magnificent way to teach people stuff… keep up the good work!

– Joop van Eerbeek

The Details:

We will meet on Fridays at 11:00 a.m. U.S. Eastern. The workshop sessions are approximately 2 hours long.

  • Jan 15
  • Jan 22
  • break week
  • Feb 5
  • Feb 12

We will also meet for 4 Q&A sessions on Thursdays at 12 p.m. U.S. Eastern, on:

  • Jan 21
  • Feb 4
  • Feb 11
  • Feb 25

Enrollment:

Full Workshop Investment: $247

(student discount available)

Sorry, registration has closed.

To get first notice when it opens again, please join our Mailing List. Check out some of our other online workshops too!

 

Refund Policy: Your registration fee is fully refundable up to 72 hours in advance. Because enrollment is limited, no refunds will be granted after the program begins.

Guarantee

As with all our programs, your satisfaction is guaranteed. If you participate fully in this workshop–watch, read, and try out everything included–and find you are not satisfied for any reason, we will give you a full refund, no questions asked.

Just notify us within 90 days of purchasing the program.