Introduction to R: A Step-by-Step Approach to the Fundamentals


Ready to break away from menu-based software?

 

LEARN TO UNLEASH THE POWER OF R

 



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

Aaron Rosenbaum, Intro to R workshop participant (January 2016)
Senior Project Director, MSI International, Inc.


 

As a researcher, it’s critical for you to know more than one stat software.

And R is a great “backup” program because it’s versatile, flexible, and FREE.

R is virtually limitless… once you learn its quirks and ins and outs.

In fact, R is so popular that it’s used by over 5 million people… and you can become one of them. No, really!

Maybe you’re a bit nervous about tackling a programming language…
Maybe you wonder if using a command-line program will be too difficult…
Maybe the idea of learning a programming language has scared you…

But… it doesn’t have to be that way! You CAN learn R, and here’s your very first step:

Introducing…

 

Introduction to R:
A Step-by-Step Approach to the Fundamentals

A 4-Module Online, Live Interactive Workshop

CLASS STARTS Friday, October 6, 2017

 

 



“The confidence I gained through the course will be helpful.”

Lynn, Intro to R workshop participant (January 2016)


 

 

I’m Kim Love, workshop instructor for Intro to R: A Step-By-Step Approach to the Fundamentals.

My goal is that by the end of the workshop, you’ll conquer your fear of the command line and be familiar with its large and rapidly growing range of abilities. You’ll learn how to perform professional-level data analysis and create superb graphics, all while learning R syntax that you can store, annotate, and adapt for your own analyses.

In this four-module live, online workshop, we’ll cover:

  • An overall orientation to R
  • Ways to interface with R
  • How R “thinks”
  • Conducting basic mathematical functions in R
  • Reading in and writing data files
  • Using basic summary statistics, and creating basic graphics to accompany them
  • How to address missing data
  • Reorganizing data sets
  • Advanced plotting
  • Basic analyses
  • Sharing R results
  • And more!

 



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

Cate Bailey, Intro to R workshop participant (January 2016)
Casual Research, Faculty of Health, Deakin University



Who Is This Workshop For?

This workshop is suitable for students and professionals. It’s for you if you:

  • Wish to learn to use R, and want to expand your knowledge of general data analysis and statistical modeling
  • Want a free option to backup or replace expensive menu-driven programs
  • Have heard the hype about R but thought it was too complicated
  • Have tried tackling R before but have gotten frustrated or lost and want another go at learning it in a supportive, step-by-step environment

It’s not for you if:

  • Are are complete statistics beginner. You should already understand hypothesis testing, descriptive statistics, and basic data manipulation.
  • Have already used R extensively and want to learn advanced skills.

 

 


 

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

Essam Alshreafi, Intro to R workshop participant (January 2016)
Network Optimization Manager, Danone North America


 

How Does It Work?

 

This course is a 4-module live, interactive online workshop from October 6 to November 9, 2017.

All sessions are conducted online via live webinar. You can log in via phone or Internet. You’ll see the instructor’s screen to view the presentation, … all from your own home or office.

During each webinar session, the instructor will cover core procedures and commands in R.

Each session, there will also be plenty of time to ask your own questions.

Have more questions? No problem!

In addition to the four module sessions, you’ll also meet with your instructor for four additional Q&A sessions where you can get additional assistance on workshop concepts, deepen your knowledge, and clarify any questions.

 

All 4 Workshop Modules and 4 Q&A Sessions Are Recorded for Your Convenience.

 

As a participant in the Introduction to R workshop, you’ll have access to a participant-only website, your workshop “hub.” That’s where you’ll access all workshop resources and material, including:

  • Data sets in various formats.

    You’ll learn how to easily import these data sets into R.

  • PDF handouts of presentation slides.

    Made available ahead of each session so you can download, print out, and take notes as you follow along. 

  • Video screen capture recordings of each workshop session.

    Made available within 48 hours after each session so you can review the material at your convenience. If you miss any of the live sessions, you can still participate on your own schedule. 

  • Exercises.

    (Yes, HOMEWORK!) You really need to practice this stuff and get your hands dirty, so we’re giving you the data to try it on your own with new models. But don’t worry–you won’t be on your own stuck on some coding error that won’t work. Kim provides you with the syntax we used to do the exercises and the answers.

  • A place to submit written questions between sessions.

    Got a question as you’re reviewing the video recording or your notes? Just submit a question in the workshop site. Kim will answer it there if she can, or if it’s something she needs to show you, she’ll answer it in the next Q&A session.

  • Video recordings of all Q&A sessions. 

    Review the Q&As at your convenience. You can even submit questions for the Q&A sessions ahead of time, and Kim will answer them in the next session and you can watch at your convenience. 

  • A list of helpful resources and suggestions for further reading.

    There’s no required textbook, but there are some good resources that we recommend to support your learning. 

  • Bonus videos.

    We’ve included a few videos from some webinars on relevant topics to help your understanding. Included are:
    — The First 3 Steps to Statistical Modeling: How to Clarify the Research Question, the Design, and the Variables
    — 13 Steps to Running Any Statistical Model

 

You’ll have access to this site and all the related materials and resources for ONE FULL YEAR. That means you can re-watch sessions, ask additional questions, and attend the course again during that 12-month period.

Often, our students report they understand the material at a deeper level on a second or third pass. This stuff is not easy. You’ll learn more every time, so take advantage of it!

 

 


 

“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, Ph.D., Intro to R workshop participant (January 2016)
President, FORCOMP Forestry Consulting Ltd.


 

 

What’s Covered in the Workshop?

Module 1: Getting Acquainted with R

  • Ways to interface with R – Basic R GUI, R commander, R Studio, scripts
  • How R “thinks” – R objects and interacting with them (vectors & matrices and their elements, intro to data formats)
  • Basic R mathematical functions—Using R as a calculator
  • Reading in data files—read.table, read.csv, packages like foreign that read files from other statistical packages
  • Writing data files—write.table, write.csv

Module 2: Statistical Basics

  • Basic summary statistics—univariate and bivariate, scale and categorical
  • Basic graphics to accompany summary statistics—boxplots, histograms, bar graphs, pie charts

Module 3: Advanced Plotting and Data Manipulation

  • Advanced plotting—R plot function and related functions, ggplot2
  • Reorganizing data sets—adding observations, adding variables, subsetting
  • Missing data—summarizing and working around it

Module 4: Inferential Statistics and Sharing Results

  • Basic analyses—t-tests, ANOVA, general linear models, chi-square tests
  • Sharing R results—markdown, Rdata files, rds files

 

 


 

The Details:


There are 4 Workshop Webinar Sessions. 

We’ll meet for four weeks in a row – beginning Friday, October 6, 2017. We will meet on Fridays at 12 noon (EST). The workshop sessions are approximately 2 hours long, including time for questions.

The schedule is as follows:

Workshop Orientation (Optional) – Thursday, October 4, at 12 noon (EST)

October

6
Friday

October

13
Friday

October

20
Friday

October

27
Friday

 

We will also meet for four, 60-minute Q&A sessions throughout this time. We’ll meet on Thursdays at 12 noon (EST), on the following dates:

October

12
Thursday

October

19
Thursday

October

26
Thursday

November

9
Thursday

 

Remember, everything is recorded and available for you to watch at your convenience, should you be unable to attend a live session.


Also, you have access to all the class materials for a full 12 months from your enrollment date.

 


Sorry, this workshop is full, and 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!

Every Live Workshop from 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 to submit questions to be answered between sessions

 


 

“What a magnificent way to teach people stuff… keep up the good work!”

Joop van Eerbeek, Intro to R workshop participant (January 2016)

 


 

About Your Instructor

Hi, I’m Kim Love, Ph.D., your workshop instructor and owner of and lead consultant at K.R. Love Quantitative Consulting and Collaboration.

I have worked as a statistical consultant and collaborator in multiple professional roles, most recently as the associate director of the University of Georgia Statistical Consulting Center.

I have more than a decade of professional and academic experience in the fields of regression and linear models, categorical data, generalized linear models, mixed effects models, nonlinear models, repeated measures, and experimental design. I have a B.A. in mathematics from the University of Virginia, and an M.S. and Ph.D. in statistics from Virginia Tech.

While I enjoy working with all my clients, I particularly enjoy working with those who feel they have a less-than-perfect relationship with statistics.

My goal is to spread an appreciation of statistics across many fields of study, starting by making it understandable to those who interact with it.

 

 



 

 

Prerequisites

So what kind of background in statistics do you need?

This course starts out at a basic level. No, you don’t need a PhD in statistics… we know you’re a researcher, not a statistician.

We’re assuming you understand:

  • Statistical tests
  • Basic graphing
  • How to work with data and variables in any stat program

As long as you have at least a statistics course or two under your belt, you should be ready to tackle “Intro to R.”

If you have questions about whether you’re ready for this class, just email us. We’ll give you our honest opinion. We want you to succeed!

 

 


 

Your Satisfaction Is Guaranteed

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.

 


 

FAQs

Q: Will I be able to keep up?

A: You WILL need to spend some time each week, both going over the modules, and also “getting your hands dirty” with some data. Expect to spend 2-3 hours per week reviewing the concepts and doing the exercises, and re-running class examples on your own.

You know how this goes:

The more time you put in, the deeper your understanding.

 

Q: What’s your refund policy?

A: Your registration fee is fully refundable up to 72 hours before your first class session. No refunds will be granted after the program begins.

 

Q: Do you offer student discounts?

A: Yes, we do! Current students with a valid ID can register for 34% off the standard rate. Click here to receive our student discount on this and future workshops: http://theanalysisinstitute.com/student-discount/

 

Q: Things are very busy at work right now, and I’m afraid I won’t have time to keep up. How much time per week does this really take?

A: We’ve worked really hard to make sure people can do the workshop in the midst of their normal worklife.

Each workshop instruction session is about two hours, whether you attend live or listen to the recording. We know it’s hard to attend 8 weeks in a row at the same time, so we split up the eight core modules over a nine-week session (four weeks on, one week off, four weeks on).

After you’ve had a week to digest the material from the live session, we have a one-hour Q&A session. You don’t have to attend, we just make those available so you can have any questions answered or listen in on others’ questions.

We provide exercises, answers and data sets, so you can practice what you’ve learned each week and get help in the Q&As. These will take you a few hours each week, maybe up to 5 or so. The exercises aren’t required—you’re not graded. But we’ve gotten feedback that they’re very helpful, as it allows you to practice and figure out what you did and didn’t understand.

In other words, each week, there are 2 hours of instruction, one hour of Q&A, and about 2-3 hours of practice time. So if you have a crazy hectic week during the workshop, you have catch up time. But If you have a crazy hectic month, you may be better off waiting to take the class as you won’t really have a chance to catch up.

One reminder: You have access to the workshop website, all materials, and a place to ask questions for a year. So if you get behind, you aren’t missing out. You can catch up on your schedule.

 

Q: I teach/work/sleep during this time/live outside the U.S and cannot attend live. Is there any way to register and access the webinar sessions later?

A: Yes! We have participants from many time zones with many different work schedules. In order to support our diverse student base, all workshop sessions – including the modules and Q&A’s — are recorded and made available to students within 48 hours. They’re screenshot video files, so you’ll hear me talking and see my screen, just as live participants do. You can even submit questions for written answers any time between sessions. Many students take the entire workshop in this manner, never attending a session live.

You can also download and keep these videos forever, so if you need to refresh your memory at any point in the future, it’s yours to review.

 

Q: I’m outside the U.S. Can I still participate?

A: Yes. We have participants in our workshops from many different countries. You will want a fast internet connection and either a computer speaker or a telephone if you plan to attend live.

 

Q: Can I pay with PayPal?

A: Yes. When you check out, you can pay directly using our system or paying with Paypal. However, the three-payment option is not available using PayPal.

 

Q: Can I join the Q&A webinars from my iPad or iPhone?

A: Yes. Attendees have the option of registering and joining the workshop Q&A sessions from your Apple or Android device by downloading a free GoToMeeting app.

 

Q: This really isn’t a good time for me. Will you be offering this workshop again soon?

A: There are no plans at this time to offer this workshop again this year. Remember, though, that you can sign up now and get access to all the course materials (live trainings, support, exercises, the option to ask questions, and live Q&A sessions, as well as any additional bonuses), so I would suggest registering now. You’ll get all the materials to download and review at your convenience, and you can attend again for free any time in the next 12 months.

Registering now will give you complete access to the website and all materials for one year. Plus, ongoing support is included through access to the workshop website for a full year.

 

Have additional questions? We’re here to help! Just email us at support@theanalysisfactor.com.