Ben Schneider
@bschneidr.bsky.social
Stats, surveys, R, and dogs.
www.practicalsignificance.com
www.practicalsignificance.com
I like that it has history fun facts about it. The Cool S is actually a really interesting piece of childlore to read about
en.wikipedia.org/wiki/Cool_S
en.wikipedia.org/wiki/Cool_S
Cool S - Wikipedia
en.wikipedia.org
November 27, 2025 at 3:09 PM
I like that it has history fun facts about it. The Cool S is actually a really interesting piece of childlore to read about
en.wikipedia.org/wiki/Cool_S
en.wikipedia.org/wiki/Cool_S
Reposted by Ben Schneider
SHE IS ROASTING COFFEE WHILE MARCHING IN THE PARADE this is why Silver Spring is the best Spring
November 22, 2025 at 5:32 PM
SHE IS ROASTING COFFEE WHILE MARCHING IN THE PARADE this is why Silver Spring is the best Spring
yeah uv is a real delight. I wish it worked for R too
November 19, 2025 at 3:02 AM
yeah uv is a real delight. I wish it worked for R too
Unfortunately the methods literature hasn't really solved this problem yet AFAIK.
This very recent paper tried to extend the Hyndman&Fan quantile estimators to work with weights and also creates estimators that depend on the arbitrary sort order in the data.
academic.oup.com/jssam/advanc...
This very recent paper tried to extend the Hyndman&Fan quantile estimators to work with weights and also creates estimators that depend on the arbitrary sort order in the data.
academic.oup.com/jssam/advanc...
INFERENCE FOR THE QUANTILE RATIO INEQUALITY INDEX IN THE CONTEXT OF SURVEY DATA
Abstract. There exist many statistical indicators for measuring economic inequality. Most of them rely on distribution moments or focus on a few selected p
academic.oup.com
November 14, 2025 at 2:33 PM
Unfortunately the methods literature hasn't really solved this problem yet AFAIK.
This very recent paper tried to extend the Hyndman&Fan quantile estimators to work with weights and also creates estimators that depend on the arbitrary sort order in the data.
academic.oup.com/jssam/advanc...
This very recent paper tried to extend the Hyndman&Fan quantile estimators to work with weights and also creates estimators that depend on the arbitrary sort order in the data.
academic.oup.com/jssam/advanc...
Yeah, I think NSE is a huge reason why R can be more ergonomic. That aside, for a long time I thought I hated Python when it turned out I just hated pandas and matplotlib. I have gripes with polars but it’s so much better than pandas.
November 13, 2025 at 5:18 PM
Yeah, I think NSE is a huge reason why R can be more ergonomic. That aside, for a long time I thought I hated Python when it turned out I just hated pandas and matplotlib. I have gripes with polars but it’s so much better than pandas.
😬 what a mess. And yeah, in the short term when there are weights it makes me want to just settle and use type 2
November 8, 2025 at 4:14 PM
😬 what a mess. And yeah, in the short term when there are weights it makes me want to just settle and use type 2
The !! operator can stay as is, but when genzplyr is loaded it has to be pronounced “gang gang”
November 7, 2025 at 12:20 PM
The !! operator can stay as is, but when genzplyr is loaded it has to be pronounced “gang gang”