Error with publication of a Shiny App with R

[Alobondo]

Hi all!! I have created a shiny dashboard and I wanted to publish it like a shinyapps.io, but when a do "Publish to Server" in RStudio a web page open up with a red message like "Error: An error has occurred. Check your logs or contact the app author for clarification." Despite this, I do not found any error message on Render or Terminal in RStudio. Could anyone help me with this issue? Another problem, is that my dashboard has 2 input lists, in order to change properties of the plots, these plots efectively change, but just with the firts 2 o 3 actions in both lists ¿how can I be sure that the dashboard will operate independetly of the number of options a user want to review?

Thank you community!!

---
title: "INDEX_2"
author: "Autor: XXX"
output:
  flexdashboard::flex_dashboard:
    orientation: rows
    social: menu
runtime: shiny
---

```{r setup, include=FALSE}
library(flexdashboard)

# load data in 'global' chunk so it can be shared by all users of the dashboard

library(readr)

modelos <- read_csv("https://raw.githubusercontent.com/Alobondo/CC_ES_Example/main/ES_Modelos_GCM.csv")
T_cc <- read_csv("https://raw.githubusercontent.com/Alobondo/CC_ES_Example/main/ES_T_escaladas.csv")
PP_cc <- read_csv("https://raw.githubusercontent.com/Alobondo/CC_ES_Example/main/ES_PP_escaladas.csv")

date <- seq(as.Date("1990/1/1"), by = "month", length.out = dim(T_cc)[1])

modelos_vect <- as.data.frame(paste(modelos$Model, modelos$Ensemble, sep="_"))
colnames(modelos_vect)[1] <- "Model"

library(tidyverse)
library(reshape2)
PP_cc_yr <- PP_cc %>%
  select(-Mes, -Observado) %>% 
  melt(id.vars = c("Año")) %>%
  group_by(variable, Año) %>% 
  summarize(PP_perYEar = sum(value))
PP_cc_yr <- dcast(PP_cc_yr, Año ~ variable)

PP_obs_yr <- PP_cc %>%
  select(Año, Observado) %>% 
  melt(id.vars = c("Año")) %>%
  group_by(Año) %>% 
  summarize(PP_perYEar = sum(value))# %>% 
  #filter(!is.na(PP_perYEar))
  
T_cc_yr <- T_cc %>%
  select(-Mes, -Observado) %>% 
  melt(id.vars = c("Año")) %>%
  group_by(variable, Año) %>% 
  summarize(T_perYEar = mean(value))
T_cc_yr <- dcast(T_cc_yr, Año ~ variable)

T_obs_yr <- T_cc %>%
  select(Año, Observado) %>% 
  melt(id.vars = c("Año")) %>%
  group_by(Año) %>% 
  summarize(T_perYEar = mean(value))# %>% 
  #filter(!is.na(T_perYEar))

Inputs {.sidebar}

 selectInput("Model", label = h3("Modelo y Emsamble GCM"), 
    choices = as.list(modelos_vect$Model), 
    selected = modelos_vect$Model[1])

  selectInput("Resolution", label = h3("Escala temporal"), 
    choices = list("Mensual" = 1, "Anual" = 2), 
    selected = 1)

Series escaladas de precipitación y temperatura provenientes de los modelos GCM del CMIP6 para el escenario SSP5-8.5.

Row

Boxplot Temperatura

  num <- reactive(which(modelos_vect$Model == input$Model))

  uiOutput("dynamic")

  output$dynamic <- renderUI({
    if (as.integer(input$Resolution) == 1) plotOutput("plot1")
    else plotOutput("plot2")
  })

  output$plot1 <- renderPlot({
      selectedData_T <- reactive({T_cc[, num()+3]})

      boxplot(selectedData_T(),
      col="green",
      ylab=paste0("Modelo ", input$Model), xlab="Temperatura mensual [°C]",
      horizontal=TRUE)
  })

  output$plot2 <- renderPlot({
      selectedData_T <- reactive({T_cc_yr[, num()+1]})
      C <- data.frame(T_obs_yr[,2],selectedData_T())
      colnames(C) <- c("Obs", "Modelo")

      boxplot(C, col=c("red","green"), xlab="Temperatura anual [°C]",
      horizontal=TRUE)
  })

Boxplot Precipitación

  num <- reactive(which(modelos_vect$Model == input$Model))

  uiOutput("dynamic2")

  output$dynamic2 <- renderUI({
    if (as.integer(input$Resolution) == 1) plotOutput("plot3")
    else plotOutput("plot4")
  })

  output$plot3 <- renderPlot({
      selectedData_PP <- reactive({PP_cc[, num()+3]})

      boxplot(selectedData_PP(),
      col="cyan",
      ylab=paste0("Modelo ", input$Model), xlab="Precipitación mensual [mm]",
      horizontal=TRUE)
  })

  output$plot4 <- renderPlot({
      selectedData_PP <- reactive({PP_cc_yr[, num()+1]})
      C <- data.frame(PP_obs_yr[,2],selectedData_PP())
      colnames(C) <- c("Obs", "Modelo")

      boxplot(C, col=c("red","cyan"), xlab="Precipitación anual [mm]",
      horizontal=TRUE)
  })

Row {.tabset}

Temperatura

  uiOutput("dynamic3")

  output$dynamic3 <- renderUI({
    if (as.integer(input$Resolution) == 1) plotOutput("plot5")
    else plotOutput("plot6")
  })

  
  output$plot5 <- renderPlot({
    selectedData_T <- reactive({T_cc[, num()+3]})

    plot(unlist(selectedData_T()) ~ date, type="l",
        xlab="Fecha", ylab="Temperatura [°C]", col="green")
    for (i in 5:dim(T_cc)[2]){
      lines(unlist(T_cc[,i]) ~ date,
            col = rgb(red = 0.8275, green = 0.8275,
                      blue = 0.8275,alpha = 0.35),
            type = 'l')
    }
    lines(unlist(selectedData_T()) ~ date, type="l", col="green")
    grid()
  })
  
  output$plot6 <- renderPlot({
    selectedData_T <- reactive({T_cc_yr[, num()+1]})

    plot(unlist(selectedData_T()) ~ T_cc_yr$Año, type="l",
        xlab="Año", ylab="Temperatura [°C]", col="green")
    for (i in 2:dim(T_cc_yr)[2]){
      lines(T_cc_yr[,i] ~ T_cc_yr$Año,
            col = rgb(red = 0.8275, green = 0.8275,
                      blue = 0.8275,alpha = 0.35),
            type = 'l')
    }
    lines(unlist(selectedData_T()) ~ T_cc_yr$Año, type="l", col="green")
    lines(T_obs_yr, type="l", col="red", lty = 2)
    grid()
    legend("bottomright", legend=c("Modelo", "Observado", "Serie de Modelos"),
           col=c("green","red","grey"),lty=c(1,2,1), cex=0.8)
  })

Precipitaciones

  uiOutput("dynamic4")

  output$dynamic4 <- renderUI({
    if (as.integer(input$Resolution) == 1) plotOutput("plot7")
    else plotOutput("plot8")
  })

  
  output$plot7 <- renderPlot({
    selectedData_PP <- reactive({PP_cc[, num()+3]})

    plot(unlist(selectedData_PP()) ~ date, type="l",
        xlab="Fecha", ylab="Precipitación [mm]", col="cyan")
    for (i in 5:dim(PP_cc)[2]){
      lines(unlist(PP_cc[,i]) ~ date,
            col = rgb(red = 0.8275, green = 0.8275,
                      blue = 0.8275,alpha = 0.35),
            type = 'l')
    }
    lines(unlist(selectedData_PP()) ~ date, type="l", col="cyan")
    grid()
  })
  
  output$plot8 <- renderPlot({
    selectedData_PP <- reactive({PP_cc_yr[, num()+1]})

    plot(unlist(selectedData_PP()) ~ PP_cc_yr$Año, type="l",
        xlab="Año", ylab="Precipitación [mm]", col="cyan")
    for (i in 2:dim(PP_cc_yr)[2]){
      lines(PP_cc_yr[,i] ~ PP_cc_yr$Año,
            col = rgb(red = 0.8275, green = 0.8275,
                      blue = 0.8275,alpha = 0.35),
            type = 'l')
    }
    lines(unlist(selectedData_PP()) ~ PP_cc_yr$Año, type="l", col="cyan")
    lines(PP_obs_yr, type="l", col="red", lty = 2)
    grid()
    legend("topright", legend=c("Modelo", "Observado", "Serie de Modelos"),
           col=c("cyan","red","grey"),lty=c(1,2,1), cex=0.8)
  })