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indrajeetpatil.github.io
| | statsandr.com
3.7 parsecs away

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| | Learn how to run multiple and simple linear regression in R, how to interpret the results and how to verify the conditions of application
| | easystats.github.io
5.6 parsecs away

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| | 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.
| | www.cedricscherer.com
4.7 parsecs away

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| | Discover how to effortlessly generate custom and even complex graphics for subsets of your data by seamlessly integrating {ggplot2}'s versatile plotting functionalities with {purrr}'s powerful functional programing capabilities. This is especially helpful for data featuring many categories or step-by-step graphical storytelling
| | summerseminarphilstat.com
22.2 parsecs away

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