Scatter mapbox in shiny R will not render - r

Question

I have been working on this shiny app for a while and it all seems to work till i get to the end. It is supposed to output a interactive scatter plot. Well I can get the plot to the point that it has a legend and the hover text pops up on a white blank background, but i am missing the visual points and the map. Outside of shiny i can make the plotly work just fine and i get my mapbox map and scatter plots. I have tired quite a few things but am still failing to render the points and the map. Is there a quark in shiny holding my map back from rendering with the points that i am missing here?
I also am getting this error that goes away when i remove the size or color function from my plot.
Error:
Warning: `line.width` does not currently support multiple values.
Ui:
library(readxl)
library(plyr)
library(dplyr)
library(plotly)
library(readr)
library(RColorBrewer)
library(data.table)
library(shiny)
library(shinydashboard)
library(shinythemes)
library(leaflet)
library(DT)
library(xtable)
ui <- fluidPage(theme = shinytheme("slate"), mainPanel(
navbarPage(
"Permian Plots", collapsible = TRUE, fluid = TRUE,
navbarMenu(
"County Plot",
tabPanel( "Data Frame",
fluidRow(box(DT::dataTableOutput("contents"))),
sidebarPanel( fileInput(
'file1',
'Choose CSV File',
accept = c('text/csv', 'text/comma-separated-values,text/plain', '.csv')
),
tags$hr(),
checkboxInput('header', 'Header', TRUE),
# App buttons comma and quote
radioButtons('sep', 'Separator',
c(
Comma = ',',
Semicolon = ';',
Tab = '\t'
), ','),
radioButtons(
'quote',
'Quote',
c(
None = '',
'Double Quote' = '"',
'Single Quote' = "'"
),
'"'
))
),
tabPanel("County Plot", plotlyOutput(
"plotMap", height = 1000, width = 1400
),
actionButton("btn", "Plot")
)
)
)
)
)
Server:
server <- function(input, output, session) {
options(shiny.maxRequestSize = 1000*1024^2)
data_set <- reactive({
inFile <- input$file1
if (is.null(inFile)){
return()
}
data_set <- read.csv(
inFile$datapath,
header = input$header,
sep = input$sep,
quote = input$quote
)
})
output$contents <- DT::renderDT({
withProgress(message = 'loading...', value = 0.1, {
datatab <- datatable(data_set(),
options = list(
"pageLength" = 10,
scrollX = TRUE))
extensions = 'Responsive'
setProgress(1)
datatab
})
})
observeEvent(
input$btn,
{
output$plotMap <- renderPlotly({withProgress(message = 'Plotting...', value = 0.1,{
plots <- function(f1){
f1 <- as.data.frame(f1)
f1$Date <- as.POSIXct(f1$Date)
f1$CNorm <- f1$Cell.Sum..Norm.
f1$year <- format(as.POSIXct(f1$Date,format="%y-%m-%d"), "%y")
f1$month <- format(as.POSIXct(f1$Date,format="%y-%m-%d"), "%m")
f1$Cell <- as.factor(f1$Cell)
z <- f1 %>%
group_by(.dots = c("year", "month", "Cell")) %>%
dplyr::summarise(yearMonth_Max_sum = max(CNorm))
f1 <- inner_join(f1,z, by = c("year", "month", "Cell"))
f1$Changed <- as.numeric(as.factor(f1$Changed))
f1$Changed[f1$Changed == 1] <- 0
f1$Changed[f1$Changed == 2] <- 1
z <- f1 %>%
group_by(.dots = c("year", "month", "Cell")) %>%
dplyr::summarise(ChangedX = max(Changed))
f1 <- inner_join(f1,z, by = c("year", "month", "Cell"))
f1$MY <- paste(f1$year, f1$month, sep = "-")
#preapring data for plotly
q <- matrix(quantile(f1$StdDev))
f1$qunat <- NA
up <- matrix(quantile(f1$StdDev, probs = .95))
f1$qunat <- ifelse((f1$StdDev > q[4:4,1]) & (f1$StdDev < up[1,1]), 1, 0)
z <- group_by(f1, Cell) %>%
dplyr::summarize(Median_Cell = median(CNorm), na.rm = FALSE)
f1 <- inner_join(f1,z, by = c("Cell"))
f1$NewMedian <- NA
f1$NewMedian[f1$Median_Cell > 4000] <- 0
f1$NewMedian[f1$Median_Cell <= 4000] <- 1
f1$NewSum <- NA
f1$NewSum <- f1$yearMonth_Max_sum * f1$ChangedX * f1$qunat * f1$NewMedian
f1$hover <- with(f1,paste("Sum", f1$yearMonth_Max_sum, "/<br>",
"Standard Dev", f1$StdDev, "/<br>",
"Mean", f1$Average, "/<br>",
"Median", f1$Median_Cell, "/<br>",
"Changed", f1$ChangedX, "/<br>",
"Latitude", f1$Lat , "/<br>",
"Longitude", f1$Lon))
f1 <- f1[which(f1$yearMonth_Max_sum < 9000), ]
f1 <<- f1[!duplicated(f1$yearMonth_Max_sum), ]
##################
Sys.setenv('MAPBOX_TOKEN' = '')
Sys.getenv("MAPBOX_TOKEN")
plot <- f1 %>%
plot_mapbox(
lon = ~Lon,
lat = ~Lat,
size = ~yearMonth_Max_sum,
color = ~NewSum,
frame = ~MY,
type = 'scattermapbox',
mode = "markers",
colors = c("green","blue")
) %>%
add_markers(text = ~f1$hover) %>%
layout(title = "County Plot",
font = list(color = "black"),
mapbox = list(style = "satellite-streets", zoom = 9,
center = list(lat = median(f1$Lat),
lon = median(f1$Lon))))
return(plot)
}
plots(data_set())
})
})
}
)
}
shinyApp(ui = ui, server = server)