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내 R 반짝이는 응용 프로그램에서 tabBox에 3 개의 탭을 만들었지 만 세 번째 탭은 나타나지 않습니다. 세 번째 탭, "시각화"에 checkBoxGroupInput 및 ggplots을 지정하고 싶습니다.ShinyDashboard - 제 3의 탭이 표시되지 않습니다
library(shiny)
library(shinydashboard)
library(devtools)
library(leaflet)
library(DT)
library(ggplot2)
library(dplyr)
r_colors <- rgb(t(col2rgb(colors())/255))
names(r_colors) <- colors()
plotdata <- read.csv("RShinyCoral.csv")
colnames(plotdata) <- c("Year1", "RLIMona", "Year2", "RLICatalina", "Year3", "RLILaParguera1998", "Year4", "RLILAPARGUERA2004")
parguera <- read.csv("RShinyCoral.csv")
parguera <- select(parguera, 5:8)
colnames(parguera) <- c("Year", "1998 Expedition", "Year", "2004 Expedition")
monaisland <- read.csv("RShinyCoral.csv")
monaisland <- select(monaisland, 1:2)
colnames(monaisland) <- c("Year", "Mona Island RLI")
islacatalina <- read.csv("RShinyCoral.csv")
islacatalina <- select(islacatalina, 3:4)
colnames(islacatalina) <- c("Year", "Isla Catalina RLI")
ui <- dashboardPage(
dashboardHeader(
title = "NOAA Puerto Rico Coral Luminescence (RLI, 5-year Running Average, 1730 - 1992)"
),
dashboardSidebar(disable = TRUE),
dashboardBody(
fluidRow(
tabBox(
title = "", width = 12, id = "tabset1",
tabPanel("Reef Locations", leafletOutput("mymap")),
tabPanel("Data Tables",
tags$a(href = "https://www.google.com/", "Click for Source Data"),
p(),
fluidRow(
column(3,
actionButton("laparguera", "La Parguera Data"),
actionButton("mona", "Mona Island Data"),
actionButton("isla", "Isla Catalina Data")
)
),
fluidRow(column(12, DT::dataTableOutput('tbl')),
fluidRow(column(12, plotOutput("plot1")),
tabPanel("Visualize",
fluidRow(
column(9,
actionButton("visualize", "Add to Plot"),
fluidRow(
column(9,
checkboxGroupInput("checkbox", label = NULL,
c("La Parguera", "Mona Island", "Isla Catalina")))
)))))))))))
server <- function(input, output) {
observeEvent(input$laparguera, {
output$tbl <- DT::renderDataTable(DT::datatable(parguera, options = list(pagelength = 25)))
})
observeEvent(input$mona, {
output$tbl <- DT::renderDataTable(DT::datatable(monaisland, options = list(pagelength = 25)))
})
observeEvent(input$isla, {
output$tbl <- DT::renderDataTable(DT::datatable(islacatalina, options = list(pagelength = 25)))
})
output$mymap <- renderLeaflet({
leaflet() %>%
addTiles() %>%
addMarkers(lat = 17.95, lng = - 67.05, popup = "La Parguera ") %>%
addMarkers(lat = 18.00, lng = -67.50, popup = "Mona Island") %>%
addMarkers(lat = 18.2, lng = -69.00, popup = "Isla Catalina")
})
observeEvent(input$laparguera, {
output$tbl <- DT::renderDataTable(DT::datatable(parguera, options = list(pagelength = 25)))
})
observeEvent(input$mona, {
output$tbl <- DT::renderDataTable(DT::datatable(monaisland, options = list(pagelength = 25)))
})
observeEvent(input$isla, {
output$tbl <- DT::renderDataTable(DT::datatable(islacatalina, options = list(pagelength = 25)))
})
output$plot1 <- renderPlot({
if(length(input$visualize) == 0) return()
isolate({
if(length(input$checkbox) == 0) return()
incheckbox <- input$checkbox
}) # end isolate
if(length(incheckbox) == 1) {
switch(incheckbox,
"Mona Island"= { gplot <- ggplot(data = plotdata) +
geom_smooth(mapping = aes(x = Year1, y = RLIMona), fill = "navyblue", na.rm = TRUE) +
ylab("Candelas (5-year Running Average)") +
guides(fill = FALSE)
print(gplot) },
"Isla Catalina"= { gplot6 <- ggplot(data = plotdata) +
geom_smooth(mapping = aes(x = Year1, y = RLICatalina), fill = "red", na.rm = TRUE) +
ylab("Candelas (5-year Running Average)") +
xlim(1837, 1992) +
guides(fill = FALSE)
print(gplot6) },
"La Parguera"= { gplot7 <- ggplot(data = plotdata) +
geom_smooth(mapping = aes(x = Year1, y = RLILAPARGUERA2004), fill = "green", na.rm = TRUE) +
ylab("Candelas (5-year Running Average)") +
xlim(1853, 1992)
print(gplot7) }
) # end switch
} else if(length(incheckbox) == 2) {
if(all(c("La Parguera", "Mona Island") %in% incheckbox)) {
gplot2 <- ggplot(data = plotdata) +
geom_smooth(mapping = aes(x = Year1, y = RLIMona), fill = "navyblue", na.rm = TRUE) +
ylab("Candelas (5-year Running Average)") +
xlim(1853, 1992) +
geom_smooth(mapping = aes(x = Year1, y = RLILAPARGUERA2004), fill = "green", na.rm = TRUE)
print(gplot2)
} else if(all(c("Mona Island", "Isla Catalina") %in% incheckbox)) {
gplot4 <- ggplot(data = plotdata) +
geom_smooth(mapping = aes(x = Year1, y = RLIMona), fill = "navyblue", na.rm = TRUE) +
ylab("Candelas (5-year Running Average)") +
geom_smooth(mapping = aes(x = Year1, y = RLICatalina), fill = "red", na.rm = TRUE) +
xlim(1837, 1992)
print(gplot4)
} else if(all(c("La Parguera", "Isla Catalina") %in% incheckbox)) {
gplot5 <- ggplot(data = plotdata) +
geom_smooth(mapping = aes(x = Year1, y = RLICatalina), fill = "red", na.rm = TRUE) +
ylab("Candelas (5-year Running Average)") +
geom_smooth(mapping = aes(x = Year1, y = RLILAPARGUERA2004), fill = "green", na.rm = TRUE) +
xlim(1853, 1992)
print(gplot5)
}
} else if (all(c("La Parguera", "Mona Island", "Isla Catalina") %in% incheckbox)) {
gplot3 <- ggplot(data = plotdata) +
geom_smooth(mapping = aes(x = Year1, y = RLIMona), fill = "navyblue", na.rm = TRUE) +
ylab("Candelas (5-year Running Average)") +
geom_smooth(mapping = aes(x = Year1, y = RLILAPARGUERA2004), fill = "green", na.rm = TRUE) +
geom_smooth(mapping = aes(x = Year1, y = RLICatalina), fill = "red", na.rm = TRUE) +
xlim(1853, 1992)
print(gplot3)
}
})
}
# Run the application
shinyApp(ui = ui, server = server)
그리고 내 데이터 : 여기 내 코드입니다
dropbox.com/s/50emrio782fosiy/RShinyCoral.csv?dl=0 보관함에서 madhatter5의 데이터를 가져 싶은 분들을 위해
, 그래서 세 번째 탭의 코드가 fluidRow'에 내장되어 (열 (12, plotOutput ("plot1")) , ... '. 그래서 tabPanel을 닫으십시오 ("데이터 테이블",'새 테이블을 열기 전에 괜찮을 것입니다.) – BigDataScientist