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Click through on any links that interest you or select the planets on the right to continue exploring the Outer Web.
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juliasilge.com
| | svmiller.com

Here is a how-to on bootstrapping standard errors in R in a flexible way, using some tidyverse-friendly packages like modelr and purrr.
4.7 parsecs

Travel
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| | freerangestats.info

I draw maps of the largest settlements closest to the north pole and to the south pole, based on an idea by 'Brilliant Maps'.
5.5 parsecs

Travel
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| | sfdep.josiahparry.com

[AI summary] This post details the features of version 0.2.4 of the 'sfdep' R package, focusing on new capabilities for spatio-temporal and colocation analysis, as well as point-pattern utilities.
3.4 parsecs

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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.
26.3 parsecs

Travel
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