diff --git a/R/jsPropensityGadget.R b/R/jsPropensityGadget.R index 6ce07660..e4cd528b 100644 --- a/R/jsPropensityGadget.R +++ b/R/jsPropensityGadget.R @@ -1343,6 +1343,88 @@ jsPropensityExtAddin <- function(nfactor.limit = 20, max.filesize = 2048) { ) ) ) + ), + navbarMenu( + title = "Subgroup analysis", + icon = icon("chart-bar"), + tabPanel( + title = "subgroup cox", + sidebarLayout( + sidebarPanel( + forestcoxUI("Forest") + ), + mainPanel( + tabsetPanel( + type = "pills", + tabPanel( + title = "Data", + withLoader( + DTOutput("tablesub"), + type = "html", + loader = "loader6" + ) + ), + tabPanel( + title = "figure", + plotOutput("forestplot", width = "100%"), + ggplotdownUI("Forest") + ) + ) + ) + ) + ), + tabPanel( + title = "subgroup regression", + sidebarLayout( + sidebarPanel( + forestglmUI("Forest_glm") + ), + mainPanel( + tabsetPanel( + type = "pills", + tabPanel( + title = "Data", + withLoader( + DTOutput("tablesub_glm"), + type = "html", + loader = "loader6" + ) + ), + tabPanel( + title = "figure", + plotOutput("forestplot_glm", width = "100%"), + ggplotdownUI("Forest_glm") + ) + ) + ) + ) + ), + tabPanel( + title = "subgroup logistic regression", + sidebarLayout( + sidebarPanel( + forestglmUI("Forest_glmbi") + ), + mainPanel( + tabsetPanel( + type = "pills", + tabPanel( + title = "Data", + withLoader( + DTOutput("tablesub_glmbi"), + type = "html", + loader = "loader6" + ) + ), + tabPanel( + title = "figure", + plotOutput("forestplot_glmbi", width = "100%"), + ggplotdownUI("Forest_glmbi") + ) + ) + ) + ) + ) ) ) @@ -2365,6 +2447,30 @@ jsPropensityExtAddin <- function(nfactor.limit = 20, max.filesize = 2048) { ) }) + outtable <- forestcoxServer("Forest", data = data, data_label = data.label) + + output$tablesub <- renderDT({ + outtable()[[1]] + }) + output$forestplot <- renderPlot({ + outtable()[[2]] + }) + outtable_glm <- forestglmServer("Forest_glm", data = data, data_label = data.label, family = "gaussian") + output$tablesub_glm <- renderDT({ + outtable_glm()[[1]] + }) + output$forestplot_glm <- renderPlot({ + outtable_glm()[[2]] + }) + outtable_glmbi <- forestglmServer("Forest_glmbi", data = data, data_label = data.label, family = "binomial") + output$tablesub_glmbi <- renderDT({ + outtable_glmbi()[[1]] + }) + output$forestplot_glmbi <- renderPlot({ + outtable_glmbi()[[2]] + }) + + session$onSessionEnded(function() { stopApp() })