R sample data sets

low priority - for later: R sample data

http://origin.rdrr.io/rforge/splm/
splm/data/Insurance.rda
splm/data/RiceFarms.rda
splm/data/itaww.rda
splm/data/riceww.rda
splm/data/usaww.rda

http://origin.rdrr.io/rforge/spdep/
spdep/data/NY_data.rda
spdep/data/afcon.rda
spdep/data/auckland.rda
spdep/data/baltimore.rda
spdep/data/boston.rda
spdep/data/columbus.rda
spdep/data/datalist
spdep/data/eire.rda
spdep/data/elect80.rda
spdep/data/getisord.rda
spdep/data/hopkins.rda
spdep/data/house.RData
spdep/data/huddersfield.rda
spdep/data/nc.sids.rda
spdep/data/oldcol.rda
spdep/data/used.cars.rda
spdep/data/wheat.rda

From Luc:
no need to add afcon. it’s a very small data set and misses some countries, so it looks weird.
it was used as the example in the LISA paper, but the sample size is too small for “modern” use.

a few of them are “classic” (but then also old), such as
- Auckland (used in an early paper to illustrate EB smoothing)
- Elect80 (US counties election results), used as example for spatial probit, but
from the looks of it, it doesn’t have the 0-1. we have a better one from LeSage
with the 1996 elections (I used in my Brown class — I can produce if we don’t
have it)
- house: Lucas county housing data (points) - is originally from LeSage toolbox
- NY_Data is Leukemia data from the Waller-Gotway book, as points
(it would be nice to supplement with the actual tract areas as polygons)
but typically these data sets have very few variables, so not that useful.

Review the listed splm and spdep dataset URLs, including the notes about excluding afcon and potentially supplementing NY_Data with polygon areas. First inspect the repository’s current sample-data organization, then determine which datasets are still appropriate and document or add only those with a clear expected format and source.

Written by the indexing model from the issue text.