## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) library(shinyCohortBuilder) ## ----eval = FALSE------------------------------------------------------------- # library(shiny) # library(cohortBuilder) # library(shinyCohortBuilder) # # mtcars_list = list( # "0" = dplyr::filter(mtcars, am == 0), # "1" = dplyr::filter(mtcars, am == 1) # ) # # ui <- fluidPage( # sidebarLayout( # sidebarPanel( # radioButtons("version", "Version", choices = c("0", "1")), # cb_ui("mtcars") # ), # mainPanel( # verbatimTextOutput("cohort_data") # ) # ) # ) # # server <- function(input, output, session) { # init_source <- set_source(tblist(mtcars = mtcars_list[["0"]])) # mt_cohort <- cohort( # init_source, # filter("range", id = "mpg", dataset = "mtcars", variable = "mpg", active = FALSE), # filter("range", id = "qsec", dataset = "mtcars", variable = "qsec", active = FALSE) # ) # # cb_server("mtcars", mt_cohort) # # observeEvent(input$version, { # new_source <- set_source(tblist(mtcars = mtcars_list[[input$version]])) # update_source(mt_cohort, new_source, keep_steps = TRUE) # }) # } # # shinyApp(ui, server) ## ----eval = FALSE------------------------------------------------------------- # library(shiny) # library(cohortBuilder) # library(shinyCohortBuilder) # # source_mtcars <- set_source( # tblist(mtcars = mtcars), # filter("range", id = "mpg", dataset = "mtcars", variable = "mpg", active = FALSE), # filter("range", id = "qsec", dataset = "mtcars", variable = "qsec", active = FALSE) # ) # # source_iris <- set_source( # tblist(iris = iris), # filter("discrete", id = "species", dataset = "iris", variable = "Species", active = FALSE), # filter("range", id = "petal_length", dataset = "iris", variable = "Petal.length", active = FALSE) # ) # # ui <- fluidPage( # sidebarLayout( # sidebarPanel( # radioButtons("dataset", "Dataset", choices = c("mtcars", "iris")), # cb_ui("data_panel") # ), # mainPanel( # verbatimTextOutput("cohort_data") # ) # ) # ) # # server <- function(input, output, session) { # cohort_object <- cohort(source_mtcars) # cb_server("data_panel", cohort_object) # # observeEvent(input$dataset, { # if (input$dataset = "mtcars") { # update_source(cohort_object, source_mtcars, keep_steps = FALSE) # } # if (input$dataset = "iris") { # update_source(cohort_object, source_iris, keep_steps = FALSE) # } # }) # } # # shinyApp(ui, server)