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Andreas Gammelgaard Damsbo 2025-04-09 12:31:08 +02:00
commit 347490605f
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20 changed files with 573 additions and 538 deletions
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R/regression-module.R
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@ -285,24 +285,22 @@ regression_server <- function(id,
## imputed or
## minimally adjusted
model_lists <- list(
"Univariable" = regression_model_uv_list,
"Multivariable" = regression_model_list
"Univariable" = "regression_model_uv_list",
"Multivariable" = "regression_model_list"
) |>
lapply(\(.fun){
ls <- do.call(
parameters=list(
data = data_r()[regression_vars()],
outcome.str = input$outcome_var,
fun.descr = input$regression_type
)
do.call(
.fun,
c(
list(data = data_r() |>
(\(.x){
.x[regression_vars()]
})()),
list(outcome.str = input$outcome_var),
list(fun.descr = input$regression_type)
)
parameters
)
})
rv$list$regression$params <- get_fun_options(input$regression_type) |>
(\(.x){
.x[[1]]
@ -415,7 +413,7 @@ regression_server <- function(id,
alt = "Assumptions testing of the multivariable regression model"
)
### Creating the regression table
shiny::observeEvent(
input$load,
{
@ -425,20 +423,44 @@ regression_server <- function(id,
tryCatch(
{
parameters <- list(
add_p = input$add_regression_p == "no"
)
out <- lapply(rv$list$regression$models, \(.x){
.x$model
}) |>
purrr::map(regression_table)
purrr::map(\(.x){
do.call(
regression_table,
append_list(.x,parameters,"x")
)
})
if (input$add_regression_p == "no") {
out <- out |>
lapply(\(.x){
.x |>
gtsummary::modify_column_hide(
column = "p.value"
)
})
}
# if (input$add_regression_p == "no") {
# out <- out |>
# lapply(\(.x){
# .x |>
# gtsummary::modify_column_hide(
# column = "p.value"
# )
# })
# }
rv$list$regression$models |>
purrr::imap(\(.x,.i){
rv$list$regression$models[[.i]][["code_table"]] <- paste(
.x$code,
expression_string(rlang::call2(.fn = "regression_table",!!!parameters,.ns = "FreesearchR"),assign.str=NULL),sep="|>\n")
})
list(
rv$code$import,
rlang::call2(.fn = "select",!!!list(input$import_var),.ns = "dplyr"),
rlang::call2(.fn = "default_parsing",.ns = "FreesearchR")
) |>
merge_expression() |>
expression_string()
rv$list$regression$tables <- out
@ -550,16 +572,7 @@ regression_server <- function(id,
##############################################################################
return(shiny::reactive({
data <- rv$list
# code <- list()
#
# if (length(code) > 0) {
# attr(data, "code") <- Reduce(
# f = function(x, y) rlang::expr(!!x %>% !!y),
# x = code
# )
# }
return(data)
return(rv$list)
}))
}
)