您可以编写一个处理过滤的函数,并将输入传递给该函数,如下所示:
library(shiny)
library(shinyWidgets)
library(DT)
results <- iris
results$Species <- as.character(results$Species)
filter_data <- function(spec=NULL, sepw=NULL) {
res <- results
if(!is.null(spec)) res <- res %>% dplyr::filter(Species %in% spec)
if(!is.null(sepw)) res <- res %>% dplyr::filter(Sepal.Width %in% sepw)
return(res)
}
ui <- fluidPage(
titlePanel(
h1("Iris Table", align="center")
),
fluidRow(
column(3,
pickerInput("sepal_width_input", "SepalWidth", choices = results$Sepal.Width, options = list(`actions-box` = TRUE), selected=NULL, multiple=TRUE)),
column(3,
pickerInput("speciesInput", "Species", choices=unique(results$Species), options = list(`actions-box` = TRUE), selected=NULL, multiple=TRUE)
),
column(9,
DT::dataTableOutput('table')))
)
server <- function(input, output) {
mydata <- reactive({
filter_data(input$speciesInput, input$sepal_width_input)
})
output$table <- DT::renderDataTable(
datatable(mydata())
)
}
shinyApp(ui = ui, server = server)