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juliasilge.com
| | easystats.github.io

You probably already have heard of the parameters package, a light-weight package to extract, compute and explore the parameters of statistical models using R (if not, there is a related publication introducing the package's main features). In this post, we like to introduce a new feature that facilitates nicely rendered output in markdown or HTML format (including PDFs). This allows you to easily create pretty tables of model summaries, for a large variety of models.
3.0 parsecs

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| | swingleydev.com

[AI summary] The author uses SQL, R, and Arduino programming to analyze historical temperature and snowfall data in Fairbanks, Alaska, to investigate trends in the timing and intensity of extreme cold and snow-free periods.
3.8 parsecs

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| | www.seascapemodels.org

[AI summary] A tutorial explaining the basics of General Linear Models using statistical concepts like linear equations, R programming simulations, and assumption checking for biological sciences.
3.1 parsecs

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| | svmiller.com

I believe that the ability to read a regression table is an important task for undergraduate students in political science. I offer an explanation of the regression table in this post.
13.7 parsecs

Travel
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