Wolfgang Viechtbauer

Marginally significant (p = .07)

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live_streams

Live Streams on Twitch

Due to the coronavirus pandemic (which has led many to explore the possibilities and potential of online teaching), I started to run the occasional live stream via the streaming platform Twitch where I talk about R, statistics, and whatever else comes up. Given the overall positive reaction to this, I plan on doing more teaching in this manner in the future. Below, you can find information on upcoming live streams, how to join/participate, and what topics have been covered in the past (including all the materials).

Future Streams

Dates are given as year-month-day.1) Times are given in terms of my local timezone (which is CET/CEST).

Date Time Topic Local Time
2021-12-14 18:00 - 22:00 Open Online R Stream
• note: changed date (was 2021-12-16, now 2021-12-14)
check local time
2021-12-02 17:00 - 22:00 Open Online R Stream check local time
2021-11-25 17:00 - 22:00 Open Online R Stream check local time

Note: The starting times are exact, but the ending times might fluctuate a bit (and often things run quite a bit longer than anticipated). More details on the topic(s) to be covered in each stream will be added over time. Further dates to be announced.

How to Join

The streams are free and there is no registration. Once the stream goes live (about 5-10 minutes before the actual start time), simply go to this link to start watching.

How to Participate

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
2021-11-18 17:00 - 22:00 Open Online R Stream
Advanced R (sections 10.1 - 10.5) / Advanced R Solutions
2021-11-11 17:00 - 23:00 Open Online R Stream
Advanced R (sections 9.1 - 9.7) / Advanced R Solutions
2021-11-04 17:00 - 23:00 Open Online R Stream
Advanced R (sections 7.4 - 8.4) / Advanced R Solutions
2021-10-21 17:00 - 22:30 Open Online R Stream
Advanced R (sections 6.8 - 7.3) / Advanced R Solutions
2021-10-14 17:00 - 22:00 Open Online R Stream
Advanced R (sections 6.5 - 6.7) / Advanced R Solutions
2021-10-07 17:00 - 22:00 Open Online R Stream
Advanced R (sections 5.1 - 6.4) / Advanced R Solutions
2021-09-23 17:00 - 23:00 Open Online R Stream
Advanced R (sections 4.1 - 4.6) / Advanced R Solutions
2021-09-16 17:00 - 22:00 Open Online R Stream
Advanced R (sections 3.5 - 3.8) / Advanced R Solutions
2021-09-09 18:00 - 22:30 Open Online R Stream
Advanced R (sections 3.1 - 3.4) / Advanced R Solutions
2021-09-01 17:00 - 21:30 Open Online R Stream
Advanced R (sections 2.4 - 2.7) / Advanced R Solutions
2021-08-27 17:00 - 22:00 Open Online R Stream
• news: oor_stream_2021_08_27_news.html
Advanced R (sections 1.1 - 2.3) / Advanced R Solutions
2021-07-15 18:00 - 00:00 Open Online R Stream
• meta-analysis (part 11: longitudinal models and network meta-analysis)
• code: oor_stream_2021_07_15_code.r
2021-07-08 17:00 - 22:00 Open Online R Stream
• news: oor_stream_2021_07_08_news.html
• meta-analysis (part 10: some review and dose response models)
• code: oor_stream_2021_07_08_code.r
2021-06-24 17:00 - 22:00 Open Online R Stream
• meta-analysis (part 9: multivariate models)
• code: oor_stream_2021_06_24_code.r
2021-06-17 17:00 - 20:00 Open Online R Stream
• meta-analysis (part 8: multilevel models)
• code: oor_stream_2021_06_17_code.r
2021-06-10 17:00 - 21:00 Open Online R Stream
• meta-analysis (part 7: model checking)
• code: oor_stream_2021_06_10_code.r
2021-06-03 17:00 - 22:00 Open Online R Stream
• meta-analysis (part 6: publication bias)
• code: oor_stream_2021_06_03_code.r
2021-05-20 20:00 - 00:30 Open Online R Stream
• meta-analysis (part 5: standard methods)
• news: oor_stream_2021_05_20_news.html
• code: same as last script
2021-05-13 20:00 - 23:00 Open Online R Stream
• meta-analysis (part 4: standard methods)
• code: same as last script
2021-05-06 17:00 - 21:30 Open Online R Stream
• meta-analysis (part 3: standard methods)
• news: oor_stream_2021_05_06_news.html
• code: same as last script
2021-04-22 17:00 - 20:30 Open Online R Stream
• meta-analysis (part 2: standard methods)
• code: same as last script
2021-04-15 17:00 - 20:30 Open Online R Stream
• meta-analysis (part 1: standard methods)
• code: oor_stream_2021_04_15_code.r
2021-04-08 17:00 - 20:30 Open Online R Stream
• fundamentals of regression modeling with R (part 3)
• news: oor_stream_2021_04_08_news.html
• code: oor_stream_2021_04_08_code.r
• dataset: data_survey_edit.txt
2021-04-01 17:00 - 20:30 Open Online R Stream
• fundamentals of regression modeling with R (part 2)
• news: oor_stream_2021_04_01_news.html
• code: oor_stream_2021_04_01_code.r
• dataset: data_survey_edit.txt
2021-03-18 17:00 - 20:00 Open Online R Stream
• fundamentals of regression modeling with R (part 1)
• code: oor_stream_2021_03_18_code.r
• dataset: data_survey_edit.txt
2021-03-11 17:00 - 20:00 Open Online R Stream
• bootstrapping
• permutation testing
• news: oor_stream_2021_03_11_news.html
• code: oor_stream_2021_03_11_code.r
• dataset: data_survey_edit.txt
2021-03-04 17:00 - 20:30 Open Online R Stream
• modeling non-linear relationships
• polynomial regression
• spline models
• news: oor_stream_2021_03_04_news.html
• code: oor_stream_2021_03_04_code.r
2021-02-18 17:00 - 20:30 Open Online R Stream
• simulating data
• simulation-based power analysis
• other types of simulation studies
• news: oor_stream_2021_02_18_news.html
• code: oor_stream_2021_02_18_code.r
2021-02-11 17:00 - 20:00 Open Online R Stream
• review of some basics from the Intro to R course
• data import
• code: oor_stream_2021_02_11_code.r
• datasets: example_data_csv.csv, example_data_tabdelim.txt, example_data_excel.xlsx, example_data_spss.sav, example_data_stata.dta
2020-12-17 17:00 - 20:00 Open Online R Stream
• mixed-effects / multilevel models (part 2)
• code: oor_stream_2020_12_17_code.r
• datasets: multilevel1.dat, multilevel2.dat
2020-12-10 17:00 - 20:00 Open Online R Stream
• R related news
• mixed-effects / multilevel models (part 1)
• news: oor_stream_2020_12_10_news.html
• code: oor_stream_2020_12_10_code.r
• dataset: multilevel1.dat
2020-12-03 17:00 - 20:00 Open Online R Stream
• a look at the tidyverse (dplyr, magrittr, tibble, etc.)
• code: oor_stream_2020_12_03_code.r
• dataset: data_survey_edit.txt
2020-11-19 17:00 - 20:00 Open Online R Stream
• R related news
• a comparison of R, jamovi, and JASP
• news: oor_stream_2020_11_19_news.html
• code: oor_stream_2020_11_19_code.r
• dataset: data_survey_edit.txt
2020-11-12 17:00 - 20:00 Open Online R Stream
• R related news
• writing R packages
• news: oor_stream_2020_11_12_news.html
• code: oor_stream_2020_11_12_code.r
• zip file with the package code: movpack.zip
2020-11-05 17:00 - 20:00 Open Online R Stream
• R related news
• how R 'works' (functions, methods, generics)
• writing your own functions
• news: oor_stream_2020_11_05_news.html
• code: oor_stream_2020_11_05_code.r
2020-10-22 17:00 - 20:00 Open Online R Stream
• R related news
• survival analysis
• non-parametric methods
• news: oor_stream_2020_10_22_news.html
• code: oor_stream_2020_10_22_code.r
• dataset: data_survey_edit.rdata
2020-10-15 17:00 - 20:00 Open Online R Stream
• R related news and resources
• psychometrics (reliability, factor analysis)
• news: oor_stream_2020_10_15_news.html
• code: oor_stream_2020_10_15_code.r
• dataset: data_survey_edit.rdata
2020-10-08 17:00 - 21:00 Open Online R Stream
• data wrangling (merging, reshaping, categorizing, …)
• heatmaps and intensity plots
• code: oor_stream_2020_10_08_code.r
• dataset: data_survey_edit.rdata
2020-10-01 17:00 - 21:00 Open Online Introduction to R Course (Extra Day 2)
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 it 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.

I use Twitch for the live streams because it is free to use, can handle an essentially unlimited number of viewers, and does not require the installation of additional software (i.e., streams can be watched through your browser). However, Twitch does need to keep their servers running to provide this service and they do so in part by showing viewers the occasional advertisement. I am not crazy about this, but it's a relatively small inconvenience given the advantages of the platform. And if you do get an ad, then this should only happen at the beginning when you join the stream (unless you take active measures to block ads via software that does so).

1)
The only sensible format in which dates should ever be given; see ISO_8601 and the obligatory xkcd.
live_streams.txt · Last modified: 2021/11/25 12:29 by Wolfgang Viechtbauer

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