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feat: the missingness module was overhauled to include two different analysis methods and a better, standalone module
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Andreas Gammelgaard Damsbo 2025-12-11 09:34:40 +01:00
commit af523edc00
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25 changed files with 1049 additions and 720 deletions
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R/validation.R
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@ -109,6 +109,9 @@ validation_server <- function(id,
purrr::list_flatten()
} else if (length(to_validate) > 0) {
out <- make_validation_alerts(to_validate)
} else {
## Defaulting to an emptu output vector
out <- character()
}
valid_ui$x <- tagList(out)
}
@ -332,7 +335,7 @@ validation_lib <- function(name = NULL) {
"mcar" = function(x, y) {
### Placeholder for missingness validation
list(
string = i18n$t("There is a significant correlation between {n_nonmcar} variables and missing observations in the outcome variable {outcome}."),
string = i18n$t("There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nnonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}."),
summary.fun = mcar_validate,
summary.fun.args = list(
data = x,