Wolfgang Viechtbauer

Marginally significant (p = .07)

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Live Streams on Twitch

Due to the circumstances around the 2020 coronavirus pandemic (which has led many of us explore the possibilities and potential of online teaching), I started to do some teaching via the live streaming platform Twitch. Given the overall positive reaction to this, I plan on doing more teaching in this manner in the future. Below, you can information on upcoming live streams, how to join/participate, and what topics have been covered in the past.

Future Streams

Dates are given as year/month/day. Times are given in terms of my local timezone (which is CET/CEST). Further dates to be announced (here and via Twitter).

Date Time Topic Local Time
2020/12/17 17:00 - 20:00 Open R Stream check local time
2020/12/10 17:00 - 20:00 Open R Stream check local time
2020/12/03 17:00 - 20:00 Open R Stream check local time
2020/11/26 17:00 - 20:00 Open R Stream check local time
2020/11/19 17:00 - 20:00 Open R Stream check local time
2020/11/05 17:00 - 20:00 Open R Stream check local time
2020/10/22 17:00 - 20:00 Open R Stream check local time
2020/10/15 17:00 - 20:00 Open R Stream check local time
2020/10/08 17:00 - 20:00 Open R Stream check local time
2020/10/01 17:00 - 20:00 Open Online Introduction to R Course (Extra Day 2)
• Introduction to R Markdown
• Programming structures (loops, if-else, etc.)
check local time

Note: The 'Open R Stream' will be a continuation of the 'Introduction to R' course and will continue to run as long as there is sufficient interest and there are still topics to cover. The starting times are exact, but the ending times might fluctuate a bit. More details on the topics to be covered each day will be added over time.

How to Join

The streams are free and there is no registration. Once the stream goes live (about 15 minutes before the actual start time), simply go to this link to start watching.

You do not need a Twitch account to watch the stream, but if you would like to post comments or questions via the chat, then you do need to be signed in. To create an account, go to Twitch, click on "Sign Up", and follow the instructions. Make sure you also verify your email address as part of the registration procedure (otherwise you cannot use the chat).

Past Streams

Date Time Topic
2020/09/24 17:00 - 21:00 Open Online Introduction to R Course (Extra Day 1)
2020/09/18 17:00 - 22:00 Open Online Introduction to R Course (Day 3)
2020/09/17 17:00 - 22:00 Open Online Introduction to R Course (Day 2)
2020/09/16 17:00 - 22:00 Open Online Introduction to R Course (Day 1)
2020/04/30 17:00 - 22:00 Open Online Introduction to R Course (Day 4)
2020/04/24 17:00 - 22:00 Open Online Introduction to R Course (Day 3)
2020/04/23 17:00 - 22:00 Open Online Introduction to R Course (Day 2)
2020/04/22 17:00 - 22:00 Open Online Introduction to R Course (Day 1)
2020/04/03 09:00 - 17:00 Open Online Introduction to R Course (Day 2)
2020/04/02 09:00 - 17:00 Open Online Introduction to R Course (Day 1)

Notes / FAQs

If you want to follow along with what I cover during the streams, you need to install the current version of R, which you can obtain from the Comprehensive R Archive Network (CRAN). Although not strictly necessary, it will also be useful to install an integrated development environment (IDE) for R. A popular choice these days is RStudio. So, unless you already have a different setup, download RStudio from here and install in the usual manner.

The stream will not be recorded. The whole point is that this is an interactive live stream, which sets it apart from online courses that use pre-recorded videos or any of the thousands of YouTube videos that teach R. If I wanted to create the latter, I would script the entire video (which is not compatible with the dynamics of an interactive live stream) and do a lot of post-processing. If you are looking for such online courses, you could look into those that are offered at Coursera, edX, and similar platforms.

live_streams.txt · Last modified: 2020/09/25 08:12 by Wolfgang Viechtbauer