我有一个简单的闪亮的,它使用反应性来呈现描述性统计数据。不过,我想用ifelse
在 tidyverse 管道内(并且不编写大量代码)。但是,我无法做到这一点。我查了之前的post https://stackoverflow.com/a/44695376/5893454但它也不起作用。我想这部分接近我想要的:
students_results <- reactive({
ds %>%
if (input$all_quest == TRUE) { do nothing here!! } else {
filter(domain == input$domain) %>%
group_by(input$quest)
}
summarise(mean(test))
这段代码100%有效,
library(shiny)
library(tidyverse)
library(DT)
ds <- data.frame(quest = c(2,4,6,8), domain = c("language", "motor"), test = rnorm(120, 10,1))
ui <- fluidPage(
sidebarLayout(
tabPanel("student",
sidebarPanel(
selectInput("domain", "domain", selected = "language", choices = c("language", "motor")),
selectInput("quest", "Questionnaire", selected = "2", choices = unique(ds$quest)),
checkboxInput("all_quest",
label = "Show all questionnaires",
value = FALSE)
)
),
mainPanel(
dataTableOutput("table")
)
)
)
server <- function(input, output) {
students_results <- reactive({
if (input$all_quest == TRUE) {
ds %>%
group_by(quest, domain) %>%
summarise(mean(test))
}
else {
ds %>%
filter(domain == input$domain) %>%
group_by(input$quest) %>%
summarise(mean(test))
}
})
output$table <- renderDataTable({
students_results()
}
)
}
shinyApp(ui = ui, server = server)