Shiny module server for kaplan-meier plot.
kaplanModule( input, output, session, data, data_label, data_varStruct = NULL, nfactor.limit = 10, design.survey = NULL, id.cluster = NULL, timeby = NULL, range.x = NULL, range.y = NULL )
input | input |
---|---|
output | output |
session | session |
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 |
id.cluster | Reactive cluster variable if marginal model, Default: NULL |
timeby | timeby, Default: NULL |
range.x | range of x axis, Default: NULL |
range.y | range of y axis, Default: NULL |
Shiny module server for kaplan-meier plot.
Shiny module server for kaplan-meier plot.
library(shiny) library(DT) library(data.table) library(jstable) library(ggplot2) ui <- fluidPage( sidebarLayout( sidebarPanel( kaplanUI("kaplan") ), mainPanel( plotOutput("kaplan_plot"), ggplotdownUI("kaplan") ) ) ) server <- function(input, output, session) { data <- reactive(mtcars) data.label <- reactive(jstable::mk.lev(mtcars)) out_kaplan <- callModule(kaplanModule, "kaplan", data = data, data_label = data.label, data_varStruct = NULL ) output$kaplan_plot <- renderPlot({ print(out_kaplan()) }) }