2023-2024 cycle updates and more (after dev testing) #111
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AlisonLanski
commented
Aug 19, 2023
AlisonLanski
commented
- Gender reporting with small N masking
- new 12 month enrollment high school section
- ADM example with small N masking for gender reporting and test percentiles
- syntax compatibility updates for tidyselect 1.2.0+
- syntax compatibility updates for roxygen2 7.0.0+
- cosmetic improvements
…; e1d fixed in main commit
…r small N in Gender or Exam columns
…S students with new data requirement/testing/etc
…with quotes within select and pivot - should be bkwds compatible
2023-2024 cycle update and other bug fixes
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re-check control flow for small N masking before approval |
| .data$StudentId < 105 ~ 4, #another | ||
| dplyr::mutate(GenderDetail = dplyr::case_when(.data$StudentId < 103 ~ 3, #unknown UG (3) | ||
| .data$StudentId < 105 ~ 4, #another UG (2) | ||
| .data$StudentId > 154 ~ 4, #another GR (5) |
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I don't understand the logic on the GenderDetail case_when() in the dummy data. What happens to StudentId's between 104 and 154? Why are the first two case statements < 103 and < 105?
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I believe we set the GenderDetail defaults to be the same as Sex above, and the student ID numbers range from 101-155, so this is setting the low numbers 101-103 as UNK UG level, 104-105 as ANO for UG and then the top numbers 154-155 as ANO for GR level. We ignore the middle because it stays as M (1) F(2).
| #remove any empty dfs (can happen from fall enrollment, 12 month enrollment, maybe others) | ||
| dfs %>% | ||
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| purrr::discard(~ nrow(.x) == 0) %>% |
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I love this so much!! This is a great addition!
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The select $.data to "" is a change for select-related functions only and is based on a tidyverse update. It removes a bunch of warning messages :} |
