Shiny ggvis reactive plot - r

Question

I'd like to make Shiny app, which plots cumstom graphs on the parameters i choose using ggvis package.
If I choose All brands, I'd like to get this plot:
But when I select only one specific brand, the plot should look like this:
I tried different ways, but none of them gave me results I expected.
Could you please, give an ideas how to solve this issue?
Also I include reproducable example:
library(shiny)
library(shinydashboard)
library(plyr)
library(ggvis)
# Header -----------------------------------------------------------
header <- dashboardHeader(title= "DashBoard")
# Sidebar --------------------------------------------------------------
sm <- sidebarMenu(
menuItem(
text="GGVIS",
tabName="GGVIS",
icon=icon("eye")
)
)
sidebar <- dashboardSidebar(sm)
# Body --------------------------------------------------
body <- dashboardBody(
# Layout --------------------------------------------
tabItems(
tabItem(
tabName="GGVIS",
fluidPage(
fluidRow(
title = "Inputs", status = "warning", width = 2, solidHeader = TRUE, collapsible = TRUE,
uiOutput("Category"),
uiOutput("Brand"),
uiOutput("Values"),
ggvisOutput("p")
)
)
)
)
)
# Setup Shiny app UI components -------------------------------------------
ui <- dashboardPage(header, sidebar, body)
# Setup Shiny app back-end components -------------------------------------
server <- function(input, output) {
set.seed(1992)
n=101
Letter <- sample(c("a", "b", "c"), n, replace = TRUE, prob = NULL)
Category <- sample(c("Car", "Bus", "Bike"), n, replace = TRUE, prob = NULL)
Brand <- sample("Brand", n, replace = TRUE, prob = NULL)
Brand <- paste0(Brand, sample(1:14, n, replace = TRUE, prob = NULL))
USD <- abs(rnorm(n))*100
df <- data.frame(Letter, Category, Brand, USD)
# Inputs --------------------------------------
output$Category <- renderUI({
selectInput("Category", "Choose category:",
choices = c("Car","Bus", "Bike" ))
})
output$Brand <- renderUI({
df2 <- df[df$Category %in% input$Category,]
selectInput("Brand",
"Brand:",
c("All", unique(as.character(df2$Brand))))
})
# -----------------------------------------------------------------------------
data2 <- reactive({
df <- df[df$Category %in% input$Category,]
df <- df[df$Brand %in% input$Brand,] # if I comment this line, I get All brands graph
df <- droplevels(df)
df <- ddply(df, c("Letter", "Category", "Brand"), summarise, "USD" = sum(USD))
})
data2%>% group_by(Brand) %>%
ggvis(x = ~factor(Letter, levels = c("a", "b", "c")), y = ~USD, fill = ~Brand, fillOpacity := 1) %>%
layer_bars() %>%
add_axis("x", title = "Letter") %>% bind_shiny("p")
# -----------------------------------------------------------------------------
}
# Render Shiny app --------------------------------------------------------
shinyApp(ui, server)

Answer 1

Try
1) not change df into reactive
data2 <- reactive({
df3=df
df3 <- df3[df3$Category %in% input$Category,]
df3 <- df3[df3$Brand %in% input$Brand,] # if I comment this line, I get All brands graph
df3 <- droplevels(df3)
df3<- ddply(df3, c("Letter", "Category", "Brand"), summarise, "USD" = sum(USD))
})
2)to add if statement
if(!"All" %in% input$Brand){
df3 <- df3[df3$Brand %in% input$Brand,] # if I comment this line, I get All brands graph
}