I cannot get slider inputs to modify a map in shiny - r

Question

I cannot get the map to react with the sliders. THe data was from https://www.kaggle.com/nasa/meteorite-landings/data#
when i move the sliders the map "refreshes" like it resets itself as if something were going to change but all of the data points show up on the graph. any help would be appreciated.
library(shiny)
library(dplyr)
library(leaflet)
library(ggplot2)
Meteor <- read.csv()
#to take all NA values out
ReMeteor <- na.omit(Meteor) #from now on using ReMeteor instead of Meteor
ui <- shinyUI(fluidPage(
titlePanel("Meteorite Landings"),
# Sidebar with a sliders and checkbox
sidebarLayout( position = "right",
sidebarPanel(
#1st slider year range
sliderInput("years","The year the meteorite fell, or the year it was found ",
min = min(ReMeteor$year),
max = max(ReMeteor$year),
step = 1,value = c(1399,2013),
animate = TRUE),
#2nd slider mass range
sliderInput("masss","The mass of the meteorite, in grams",
min = min(ReMeteor$mass),
max = max(ReMeteor$mass),
step = 100,value = c(.010,60000000),
animate = TRUE),
#checkbox
selectInput("fall",
"Was meteorite seen falling or found?",
choices = sort(unique(ReMeteor$fall))),
),
mainPanel( leafletOutput("my_leaf",height = 650, width = 605),textOutput("text1"),textOutput("text2")
))))
server <- shinyServer(function(input, output, session) {
#i think this block of four was letting it refresh, although no changes
filtered <- reactive({
ReMeteor[ReMeteor$year >= input$years[1] & ReMeteor$year <= input$years[2],]
ReMeteor[ReMeteor$mass >= input$masss[1] & ReMeteor$mass <= input$masss[2],]
})
#need last checkbox
# filter(ReMeteor >= input$year[1] &
# ReMeteor <= input$year[2]) %>%
# filter(ReMeteor >= input$mass[1] &
# ReMeteor <= input$mass[2])%>%
# filter(ReMeteor = sort(unique(ReMeteor$fall)))
# fitBounds()#here it is !!! https://rstudio.github.io/leaflet/shiny.html search : fitbounds --- this too https://rstudio.github.io/leaflet/markers.html
output$my_leaf <- renderLeaflet({
leaflet(data = filtered()) %>%
addMiniMap(zoomLevelOffset = -4) %>%
addProviderTiles("Esri.NatGeoWorldMap")
})
#fitBounds(ReMeteor, ReMeteor$reclong,ReMeteor$reclat,ReMeteor$reclong,ReMeteor$reclat)
observe({
# year_ <-input$year
# mass_ <-input$mass
# fall_ <-input$fall
#
leafletProxy("my_leaf", data = filtered()) %>%
clearShapes() %>%
clearMarkers() %>%
clearPopups() %>%
addMarkers(lat = ReMeteor$reclat,
lng = ReMeteor$reclong,
clusterOptions = markerClusterOptions(),
popup = as.character(ReMeteor$name,ReMeteor$recclass))
})
output$text1 <- renderText({
paste("You have chosen a range from the year", input$years[1], "to", input$years[2])
})
output$text2 <- renderText({
paste("You have chosen a range of mass from", input$masss[1], "to", input$masss[2], "grams")
})
})
shinyApp(ui, server)

Answer 1

The issue here is that although you correctly used the reactive value filtered() in your leafletProxy call, you use the non-reactive version of ReMeteor in your addMarkers call.
observe({
leafletProxy("my_leaf", data = filtered()) %>%
clearShapes() %>%
clearMarkers() %>%
clearPopups() %>%
addMarkers(lat = filtered()$reclat,
lng = filtered()$reclong,
clusterOptions = markerClusterOptions(),
popup = as.character(filtered()$name,filtered()$recclass))
})