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reset outputs on updated data

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Andreas Gammelgaard Damsbo 2025-04-30 10:02:29 +02:00
commit 1e85fd347f
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7 changed files with 407 additions and 249 deletions
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2
R/app_version.R
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@ -1 +1 @@
app_version <- function()'v25.4.4.250429'
app_version <- function()'v25.4.4.250430'

20
R/data_plots.R
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@ -351,9 +351,25 @@ data_visuals_server <- function(id,
prismCodeBlock(paste0("#Plotting\n", rv$code))
})
shiny::observeEvent(
list(
data()
),
{
shiny::req(data())
rv$plot <- NULL
}
)
output$plot <- shiny::renderPlot({
shiny::req(rv$plot)
rv$plot
# shiny::req(rv$plot)
# rv$plot
if (!is.null(rv$plot)) {
rv$plot
} else {
return(NULL)
}
})
output$download_plot <- shiny::downloadHandler(

123
R/regression-module.R
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@ -331,10 +331,10 @@ regression_server <- function(id,
"Multivariable" = "regression_model_list"
) |>
lapply(\(.fun){
parameters=list(
parameters <- list(
data = data_r()[regression_vars()],
outcome.str = input$outcome_var,
fun.descr = input$regression_type
outcome.str = input$outcome_var,
fun.descr = input$regression_type
)
do.call(
@ -413,49 +413,68 @@ regression_server <- function(id,
shiny::req(rv$check_plot)
shiny::req(input$plot_checks)
p <- rv$check_plot() +
# patchwork::wrap_plots() +
patchwork::plot_annotation(title = "Multivariable regression model checks")
## Print checks if a regression table is present
if (!is.null(rv$list$regression$tables)) {
p <- rv$check_plot() +
# patchwork::wrap_plots() +
patchwork::plot_annotation(title = "Multivariable regression model checks")
layout <- sapply(seq_len(length(p)), \(.x){
patchwork::area(.x, 1)
})
out <- p + patchwork::plot_layout(design = Reduce(c, layout))
index <- match(
input$plot_checks,
sapply(rv$check_plot(), \(.i){
get_ggplot_label(.i, "title")
layout <- sapply(seq_len(length(p)), \(.x){
patchwork::area(.x, 1)
})
)
ls <- list()
p_list <- p + patchwork::plot_layout(design = Reduce(c, layout))
for (i in index) {
p <- out[[i]] +
ggplot2::theme(axis.text = ggplot2::element_text(size = 10),
axis.title = ggplot2::element_text(size = 12),
legend.text = ggplot2::element_text(size = 12),
plot.subtitle = ggplot2::element_text(size = 12),
plot.title = ggplot2::element_text(size = 18))
ls <- c(ls, list(p))
}
# browser()
tryCatch(
{
patchwork::wrap_plots(ls, ncol = if (length(ls) == 1) 1 else 2)
},
error = function(err) {
showNotification(err, type = "err")
index <- match(
input$plot_checks,
sapply(rv$check_plot(), \(.i){
get_ggplot_label(.i, "title")
})
)
ls <- list()
for (i in index) {
p <- p_list[[i]] +
ggplot2::theme(
axis.text = ggplot2::element_text(size = 10),
axis.title = ggplot2::element_text(size = 12),
legend.text = ggplot2::element_text(size = 12),
plot.subtitle = ggplot2::element_text(size = 12),
plot.title = ggplot2::element_text(size = 18)
)
ls <- c(ls, list(p))
}
)
# browser()
tryCatch(
{
out <- patchwork::wrap_plots(ls, ncol = if (length(ls) == 1) 1 else 2)
},
error = function(err) {
showNotification(err, type = "err")
}
)
out
} else {
return(NULL)
}
},
alt = "Assumptions testing of the multivariable regression model"
)
### Creating the regression table
shiny::observeEvent(
list(
data_r(),
regression_vars()
),
{
rv$list$regression$tables <- NULL
}
)
### Creating the regression table
shiny::observeEvent(
input$load,
{
@ -475,9 +494,9 @@ regression_server <- function(id,
purrr::map(\(.x){
do.call(
regression_table,
append_list(.x,parameters,"x")
append_list(.x, parameters, "x")
)
})
})
# if (input$add_regression_p == "no") {
# out <- out |>
@ -490,16 +509,18 @@ regression_server <- function(id,
# }
rv$list$regression$models |>
purrr::imap(\(.x,.i){
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")
.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")
rlang::call2(.fn = "select", !!!list(input$import_var), .ns = "dplyr"),
rlang::call2(.fn = "default_parsing", .ns = "FreesearchR")
) |>
merge_expression() |>
expression_string()
@ -519,11 +540,15 @@ regression_server <- function(id,
)
output$table2 <- gt::render_gt({
shiny::req(rv$list$regression$tables)
rv$list$regression$tables |>
tbl_merge() |>
gtsummary::as_gt() |>
gt::tab_header(gt::md(glue::glue("**Table 2: {rv$list$regression$params$descr}**")))
## Print checks if a regression table is present
if (!is.null(rv$list$regression$tables)) {
rv$list$regression$tables |>
tbl_merge() |>
gtsummary::as_gt() |>
gt::tab_header(gt::md(glue::glue("**Table 2: {rv$list$regression$params$descr}**")))
} else {
return(NULL)
}
})
##############################################################################
@ -619,5 +644,3 @@ regression_server <- function(id,
}
)
}

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R/sysdata.rda
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