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This issue will track repetitive components that can be modularised.
reactiveValues()
boundNumericInput() and
processOther()
numericInput
Either updating numeric values (a):
observeEvent(input$optsCostUnit, { costs$unit <- as.numeric(input$optsCostUnit) }, ignoreNULL = TRUE)
Inputs unit, pool, cluster, and period all share:
numericInput(inputId = ns(X), label, value = isolate(Y), min = 1e-6, step = 0.5)
And the UI, to make a module pair, is the above.
observeEvent(input$optsPrevalence, { design_opts$prev <- processOther(input, "optsPrevalence") }, ignoreNULL = TRUE)
Where mod_ui = The error text displayed and mod_server = maybe
reactiveValues( exists = FALSE, valid = FALSE )
where the validation logic should req(exists) to avoid propogating NULL etc.
e.g. Prevalence, Correlation, Sensitivity, Specificity
The text was updated successfully, but these errors were encountered:
DEV: Integrate cost modules for optimise_sN.
0c8e24f
Addresses #40, partially.
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Overview
This issue will track repetitive components that can be modularised.
1. Updating ofreactiveValues()
(numerics)boundNumericInput() and
saveNumericInput`processOther()
numericInput
with "Other"1. Updating of
reactiveValues()
Either updating numeric values (a):
Inputs unit, pool, cluster, and period all share:
numericInput(inputId = ns(X), label, value = isolate(Y), min = 1e-6, step = 0.5)
And the UI, to make a module pair, is the above.
2. For
processOther()
:3. Validation
Where mod_ui = The error text displayed and mod_server = maybe
where the validation logic should req(exists) to avoid propogating NULL etc.
4.
numericInput
with "Other"e.g. Prevalence, Correlation, Sensitivity, Specificity
The text was updated successfully, but these errors were encountered: