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juliasilge.com
| | 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.
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| | www.civilytics.com

Update: Since this post was released I have co-authored an R package to make some of the items in this post easier to do. This package is called merTools and is available on CRAN and on GitHub. To read more about it, read my new post hereand check out the packageon GitHub. Introduction First of [...]
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| | andreasthinks.me

I use public London crime data on robbery and burglary to examine where this COVID crime shift was strongest, and whether any specific drivers or correlates can be identified.
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| | www.rdatagen.net

In my previous post, I described a continuous data generating process that can be used to generate discrete, categorical outcomes. In that post, I focused largely on binary outcomes and simple logistic regression just because things are always easier to follow when there are fewer moving parts. Here, I am going to focus on a situation where we have multiple outcomes, but with a slight twist - these groups of interest can be interpreted in an ordered way.
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