r - Reactivity/renderPlot() not working in ggvis + Shiny -


i trying make shiny app user provides budgetary constraint, constraint formulates optimization equation maximizing protein (via lpsolve package), , optimization equation displayed in graph of protein-heavy foods (x-axis) vs. servings/wk (y-axis).

when run current code, side panel pops up, graph in main panel doesn't appear. if delete renderplot() function, graph show up, isn't interactive.

server.r:

shinyserver(   function(input, output) {  # user inputs max amt spent on food/wk budget <- reactive({   as.numeric(input$budget) })  output$myplot <- renderplot({  # set optimization eq maximizing protein given constraints   maxprot <- lp("max",                 snap2$protperserv,                 rbind(snap2$fatperserv, snap2$fatperserv, snap2$costperserv, snap2$sodiumperserv, snap2$fiberperserv, snap2$sugarperserv, snap2$calsperserv, snap2$calsperserv, snap2$fruit, snap2$vegs, snap2$grains, snap2$grains, snap2$meatprotein, snap2$dairy),                 c("<=", ">=", "<=", "<=", ">=", "<=", ">=", "<=", ">=", ">=", ">=", "<=", ">=", ">="),                 c(245, 140, budget(), 16100, 217, 262.5, 12600, 17850, 16, 28, 9, 25, 6.4, 24))  # drop variables have 0 coefficient in model   maxprotvec <- maxprot$solution   x <- data.frame(snap2$food, snap2$foodgroup, snap2$protperserv, maxprotvec)   x <- x[!(x$maxprotvec == 0),]   x <- droplevels(x)  # plot optimization equation, i.e. food on x-axis , no. servings # of each food on y-axis   myplot <- x %>%     ggvis(~snap2.food, ~maxprotvec, fill = ~snap2.foodgroup) %>%     layer_points(size := "400", opacity := "0.8") %>%     add_axis("x", title = "", ticks = 14) %>%     add_axis("y", title = "servings per week") %>%     bind_shiny("myplot", "plot_ui")      }) })

ui.r:

shinyui(pagewithsidebar(   titlepanel(title = h2("visualizing snap", align = "center")),   sidebarpanel(     helptext("the usda , aha recommend following daily guidelines..."),      sliderinput("budget",         label = "what weekly grocery budget? (snap benefits        designed cover 1/3 of total food expenditure):",        min = 0, max = 100, value = 50),     uioutput("plot_ui")   ),     mainpanel(       div(style = "width:800px; height:600px;",       ggvisoutput("myplot")       )   ) ))


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