[CTIS contingency] Make themed and demographic tables #1645
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make postprocessing multinomial
capnrefsmmat
requested changes
Jul 11, 2022
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capnrefsmmat
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capnrefsmmat
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Found a few coding typos
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| if ("B6" %in% names(input_data)) { | ||
| input_data$t_unusual_symptom_hospital <- input_data$B6 == 1 | ||
| input_data$t_unusual_symptom_hospital_tried <- input_data$B6 == 1 | input_data$B6 == 3 |
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I completely forgot B6 existed
Co-authored-by: Alex Reinhart <alex@refsmmat.com>
Add county info to contingency tables
…hreshold Lower contingency table threshold and round sample sizes
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Description
Define indicators that are not used in all cuts, mostly demographic variables. Set up themed table structure.
Indicator names are grouped by the theme (topic) they belong to. After generating estimates for all indicators sharing a region and groupby variables, indicators in each theme group are collected and saved again. Non theme-grouped files are named with "all_indicators" and themed files names contain "theme_", like "theme_vaccines".
Most important changes to review here are in
contingency_aggregate.Randcontingency_write.R.Changelog
contingency_aggregate.Rcontingency_indicators.Rcontingency_variables.Rcontingency_write.R