forestcoxServer:shiny module server for forestcox

Shiny module server for forestcox

Usage

forestcoxServer(
  id,
  data,
  data_label,
  data_varStruct = NULL,
  nfactor.limit = 10,
  design.survey = NULL,
  cluster_id = NULL,
  vec.event = NULL,
  vec.time = NULL
)

Arguments

id

id

data

Reactive data

data_label

Reactive data label

data_varStruct

Reactive List of variable structure, Default: NULL

nfactor.limit

nlevels limit in factor variable, Default: 10

design.survey

reactive survey data. default: NULL

cluster_id

cluster option variable for marginal cox model

vec.event

event variables as vector for survival analysis, Default: NULL

vec.time

time variables as vector for survival analysis, Default: NULL

Value

Shiny module server for forestcox

Details

Shiny module server for forestcox

See also

data.table-package, setDT, setattr TableSubgroupMultiCox forest_theme, forest dml read_pptx, add_slide, ph_with, ph_location

Examples

library(shiny)
library(DT)
mtcars$vs <- factor(mtcars$vs)
mtcars$am <- factor(mtcars$am)
mtcars$kk <- factor(as.integer(mtcars$disp >= 150))
mtcars$kk1 <- factor(as.integer(mtcars$disp >= 200))

library(shiny)
library(DT)
mtcars$vs <- factor(mtcars$vs)
mtcars$am <- factor(mtcars$am)
mtcars$kk <- factor(as.integer(mtcars$disp >= 150))
mtcars$kk1 <- factor(as.integer(mtcars$disp >= 200))

out <- mtcars
ui <- fluidPage(
  sidebarLayout(
    sidebarPanel(
      forestcoxUI("Forest")
    ),
    mainPanel(
      tabsetPanel(
        type = "pills",
        tabPanel(
          title = "Data",
          DTOutput("tablesub"),
        ),
        tabPanel(
          title = "figure",
          plotOutput("forestplot", width = "100%"),
          ggplotdownUI("Forest")
        )
      )
    )
  )
)


server <- function(input, output, session) {
  data <- reactive(out)
  label <- reactive(jstable::mk.lev(out))
  outtable <- forestcoxServer("Forest", data = data, data_label = label)
  output$tablesub <- renderDT({
    outtable()[[1]]
  })
  output$forestplot <- renderPlot({
    a
    outtable()[[2]]
  })
}