# code for summary table
# list of the values for model selection
sum_table_value <- c("Run description",
'Reference model',
'Input data',
'Run start time',
'Estimation runtime',
'Estimation method',
'Number of individuals',
'Number of observations',
'Objective function value',
'Termination message')
summary_tbl_server <- function(id, lst_df, mod_code, mod_selected) {
shiny::moduleServer(id, function(input, output, session) {
summary_tbl <- shiny::reactive({
lst_df <- lst_df()
mod_code <- mod_code()
mod_selected <- mod_selected()
sum <- summarise_nm_model(file=paste0(dir(),'/',mod_selected(),".lst"), model=mod_code, software="nonmem", rounding=3)
sum_table <- data.frame(sum)[,c("descr",'value')]
sum_table <- sum_table[sum_table$descr %in% sum_table_value, ]
colnames(sum_table) <- c("description", "value")
reactable::reactable(
sum_table,
compact = TRUE,
style = list(
fontSize = "12px",
verticalAlign = "center",
align = "left"
),
theme = reactable_theme,
columns = list(
description = reactable::colDef(
style = function(value) {
color <- "#777777"
list(color = color)
}
),
value = reactable::colDef(
style = function(value) {
color <- if ( grepl(".csv", value) == TRUE) {
"#66CCCC"
} else if ( grepl("SUCCESSFUL", value) == TRUE ) {
"#66CC99"
} else if ( grepl("TERMINATED", value) == TRUE ) {
"#FF6666"
}
list(fontWeight=300, color = color)
}
)
)
)
})
})
}
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