/explore
|
You are here |
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. |
|
| | | | | ||
| | | | |
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'. |
|
| | | | | ||
| | | | |
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. |
|
| | | | | ||
| | | | |
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. |
|
| | | |||