geposanui/R/methods.R

94 lines
2.7 KiB
R
Raw Normal View History

2021-10-20 15:34:52 +02:00
# Construct UI for the methods editor.
2021-10-19 16:44:29 +02:00
methods_ui <- function(id) {
initial_weight <- 100 / length(methods)
verticalLayout(
h3("Methods"),
actionButton(
NS(id, "optimize_button"),
"Find optimal weights",
icon = icon("check-double")
),
div(style = "margin-top: 16px"),
lapply(methods, function(method) {
verticalLayout(
checkboxInput(
NS(id, method$id),
span(
method$description,
style = "font-weight: bold"
),
value = TRUE
),
sliderInput(
NS(id, sprintf("%s_weight", method$id)),
NULL,
post = "%",
min = 0,
max = 100,
step = 1,
value = initial_weight
)
)
})
)
}
2021-10-20 15:34:52 +02:00
# Construct server for the methods editor.
#
# @param analysis The reactive containing the results to be weighted.
#
# @return A reactive containing the weighted results.
2021-10-19 16:44:29 +02:00
methods_server <- function(id, analysis) {
moduleServer(id, function(input, output, session) {
observeEvent(input$optimize_button, {
method_ids <- NULL
# Only include activated methods.
for (method in methods) {
if (input[[method$id]]) {
method_ids <- c(method_ids, method$id)
}
}
weights <- geposan::optimize_weights(
analysis(),
method_ids,
genes_tpe_old
)
for (method_id in method_ids) {
updateSliderInput(
session,
sprintf("%s_weight", method_id),
value = weights[[method_id]] * 100
)
}
})
# Observe each method's enable button and synchronise the slider state.
lapply(methods, function(method) {
observeEvent(input[[method$id]], {
shinyjs::toggleState(
session$ns(sprintf("%s_weight", method$id))
)
}, ignoreInit = TRUE)
})
reactive({
# Take the actual weights from the sliders.
weights <- NULL
for (method in methods) {
if (input[[method$id]]) {
weight <- input[[sprintf("%s_weight", method$id)]]
weights[[method$id]] <- weight
}
}
geposan::ranking(analysis(), weights)
})
})
}