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juliasilge.com | ||
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kieranhealy.org
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| | | | | With the 2020 U.S. Census in motion already, I've been looking at various pieces of data from the Census Bureau. I decided I wanted to draw some population pyramids for the U.S. over as long a time series as I could. What's needed for that are tables for, say, as many years as possible that show the number of males and females alive at every year of age from zero to the highest age you're willing to track. This sort of data is available on the Census website. But it tuned out to be somewhat tedious to assemble into a single usable series. (Perhaps it's available in an easy-to-digest form elsewhere, but I couldn't find it.) I initially worked with a couple of the excellent R packages that talk to the Census API (tidycensus and censusapi), hoping they'd give m... | |
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freerangestats.info
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| | | | | How to produce an animation of demographic patterns in Pacific island countries and territories from 1950 to 2050, in just a few lines of code. | |
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www.rdatagen.net
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| | | | | I was thinking a lot about proportional-odds cumulative logit models last fall while designing a study to evaluate an intervention's effect on meat consumption. After a fairly extensive pilot study, we had determined that participants can have quite a difficult time recalling precise quantities of meat consumption, so we were forced to move to a categorical response. (This was somewhat unfortunate, because we would not have continuous or even count outcomes, and as a result, might not be able to pick up small changes in behavior.) We opted for a question that was based on 30-day meat consumption: none, 1-3 times per month, 1 time per week, etc. - six groups in total. The question was how best to evaluate effectiveness of the intervention? | |
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voipsa.org
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| | | Given recent announcements of security fixes in Asterisk, it was great to see: 1) Kevin Fleming from Digium posting Asterisk security advisories to the VOIPSEC mailing list; and 2) the creation of ... | ||
