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POShiny ui.R - Error in tag("div", list(...)) - not sure where error is
 

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  1. POShiny ui.R - Error in tag("div", list(...)) - not sure where error is
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    <p><strong>Update - 12/17/2012 9am CDT</strong>: example has been updated with demo data and full code. <strong>[/update].</strong></p> <p><strong>Example Data:</strong> <a href="https://gist.github.com/4318774">https://gist.github.com/4318774</a></p> <p><em>Description:</em> I've been playing around with the new Shiny package (love it!) but don't yet understand an error I'm getting when I <code>runApp("")</code>. Error is <code>Error in tag("div", list(...)): argument is missing</code>. </p> <p>I'm trying to create an interactive web-app for graphical exploration of demographic data. I'm using the following as guides: <br> <a href="https://gist.github.com/4026749">https://gist.github.com/4026749</a> <br> <a href="http://rstudio.github.com/shiny/tutorial/">http://rstudio.github.com/shiny/tutorial/</a></p> <p>with <code>options(error= recover)</code>, I get:</p> <pre><code>Listening on port 8100 Error in tag("div", list(...)) : argument is missing, with no default Enter a frame number, or 0 to exit 1: runApp("//~~my app~~") 2: tryCatch(while (TRUE) { serviceApp(ws_env) }, finally = { timerCallbacks$clear() websocket_close(ws_env) }) 3: tryCatchList(expr, classes, parentenv, handlers) 4: serviceApp(ws_env) 5: service(server = ws_env, timeout = timeout) 6: server$static(j, J$wsinfo) 7: handler(ws, header) 8: handler(ws, header) 9: local({ cacheContext$with(function() { source(filePath, local = new.env(parent = .GlobalEnv)) }) }) 10: eval.parent(substitute(eval(quote(expr), envir))) 11: eval(expr, p) 12: eval(expr, envir, enclos) 13: eval(quote({ cacheContext$with(function() { source(filePath, local = new.env(parent = .GlobalEnv)) }) 14: eval(expr, envir, enclos) 15: cacheContext$with(function() { source(filePath, local = new.env(parent = .GlobalEnv)) }) 16: func() 17: source(filePath, local = new.env(parent = .GlobalEnv)) 18: withVisible(eval(ei, envir)) 19: eval(ei, envir) 20: eval(expr, envir, enclos) 21: ui.R#6: shinyUI(pageWithSidebar(headerPanel("Demographics Web Demo - Eglin Data"), sidebarPanel(textInput("plot.ti 22: force(ui) 23: pageWithSidebar(headerPanel("Demographics Web Demo - Eglin Data"), sidebarPanel(textInput("plot.title", "Title:", 24: bootstrapPage(div(class = "container-fluid", div(class = "row-fluid", headerPanel), div(class = "row-fluid", sideb 25: tagList(importBootstrap(), list(...)) 26: div(class = "container-fluid", div(class = "row-fluid", headerPanel), div(class = "row-fluid", sidebarPanel, mainP 27: tags$div(...) 28: tag("div", list(...)) 29: div(class = "row-fluid", sidebarPanel, mainPanel) 30: tags$div(...) 31: tag("div", list(...)) 32: sidebarPanel(textInput("plot.title", "Title:", "Population Pyramid of Members"), wellPanel(p(strong("Demographic o 33: div(class = "span4", tags$form(class = "well", ...)) 34: tags$div(...) 35: tag("div", list(...)) 36: tags$form(class = "well", ...) 37: tag("form", list(...)) 38: wellPanel(p(strong("Demographic of Interest")), checkboxInput(inputId = "age_dist", label = "Age Distribution", va 39: div(class = "well", ...) 40: tags$div(...) 41: tag("div", list(...)) </code></pre> <p>I tried investigating what was going on, but ?checkboxInput made the code look accurate. It also is pretty much a direct copy of the "stocks" example from RStudio (github linked above)</p> <p><em><code>ui.R</code> / <code>Server.R</code> code:</em> <br> <code>ui.R</code> </p> <pre><code>library(shiny) shinyUI(pageWithSidebar( # application title headerPanel("Demographics Web Demo - Eglin Data"), # sidebar with controls to allow user to define graphical elements and how # they want them displayed. sidebarPanel( # allow the user to write a plot Title textInput("plot.title", "Title:", "Population Pyramid of Members"), # allow the user to determine which demographic they want to plot wellPanel( p(strong("Demographic of Interest")), checkboxInput(inputId = "age_dist", label = "Age Distribution", value = TRUE), checkboxInput(inputId = "wealth_dist", label = "Household Wealth", value = FALSE), checkboxInput(inputId = "home_val", label = "Home Value", value = FALSE), checkboxInput(inputId = "ed_level", label = "Members' Education", value = FALSE), checkboxInput(inputId = "inc_level", label = "Members' Est. Income", value = FALSE), checkboxInput(inputId = "h_own", label = "Homeownership", value = FALSE), ), # allow the user to determine age-bracket size. Input used in plotting sliderInput("age_cut", "Select Size of Age Brackets:", min= 3, max= 20, value= 5), # allow the user to subset their demographics by age range #sliderInput("age_sub", "Please select the age range you would like to 'zoom-in' on:", # min= 0, max= 120, value= c(15,65)), ), # display the appropriate graphics based on the user selections defined # above. mainPanel( h3(textOutput("caption")), conditionalPanel(condition= "input.age_dist", plotOutput(outputId= "plot_age")), conditionalPanel(condition= "input.wealth_dist", plotOutput(outputId= "plot_wealth")), conditionalPanel(condition= "input.home_val", plotOutput(outputId= "plot_home_value")), conditionalPanel(condition= "input.ed_level", plotOutput(outputId= "plot_edu")), conditionalPanel(condition= "input.inc_level", plotOutput(outputId= "plot_inc")), conditionalPanel(condition= "input.h_own", plotOutput(outputId= "plot_h_own")) ) )) </code></pre> <p><code>server.R</code> <br></p> <pre><code># require packages if (!require(ggplot2)) { stop("This application requires ggplot2. To install it, please run 'install.packages(\"ggplot2\")'.\n") } if (!require(plotrix)) { stop("This application requires plotrix. To install it, please run 'install.packages(\"plotrix\")'.\n") } library(shiny) # load example demo data load("~~you'll need to load the test data here") shinyServer(function(input, output) { # reactive function based on user input for plot title # This function is automatically called to update the display output$caption &lt;- reactiveText(function() { input$plot.title }) updateAge_f &lt;- reactive(function() { # re-define age brackets based on user input demos$age_f &lt;- ordered(cut(demos$age, breaks= c(seq(0, max(demos$age), input$age_cut)), include.lowest= T)) }) # Generate a plot of the Members' age distribution output$plot_age &lt;- reactivePlot(function() { # call to update age factor if needed updateAge_f() # develop input vectors male &lt;- as.vector(table(demos$age_f, demos$female_flag)[,1]/summary(demos$female_flag)[1] * 100) women &lt;- as.vector(table(demos$age_f, demos$female_flag)[,2]/summary(demos$female_flag)[2] * 100) # create plot pyramid.plot(lx= male, rx= women, labels= levels(demos$age_f), lxcol= "blue", rxcol= "pink", main= "Population Pyramid of Members", gap= 2, labelcex= .75) }) # generate a plot of members' wealth codes output$plot_wealth &lt;- reactivePlot(function() { # call to update age factor if needed updateAge_f() if (input$factor_age == TRUE) { ggplot(demos2, aes(wealth)) + geom_bar() + facet_wrap(~ age_f, ncol= 3) + theme_bw() + labs(title= "Wealth of Members by Age Bracket", y= "Count of Individuals", x= "Decile of Wealth (by State)") + theme(axis.text.x= element_text(angle= 90)) } else if (input$factor_age == FALSE) { ggplot(demos2, aes(wealth)) + geom_bar() + theme_bw() + labs(title= "Wealth of Members of your Members", y= "Count of Individuals", x= "Decile of Wealth (by State)") + theme(axis.text.x= element_text(angle= 90)) } }) # generate a plot of home value of members' properties output$plot_home_value &lt;- reactivePlot(function() { # call to update age factor if needed updateAge_f() if (input$factor_age == TRUE) { ggplot(demos2, aes(home_value)) + geom_bar() + facet_wrap(~ age_f, ncol= 3) + theme_bw() + labs(title= "Home Value by Age Bracket", y= "Count of Individuals", x= "Home Value") + theme(axis.text.x= element_text(angle= 90)) } else if (input$factor_age == FALSE) { ggplot(demos2, aes(home_value)) + geom_bar() + theme_bw() + labs(title= "Home Value of your Members", y= "Count of Individuals", x= "Home Value") + theme(axis.text.x= element_text(angle= 90)) } }) # generate a plot of education distribution output$plot_edu &lt;- reactivePlot(function() { # call to update age factor if needed updateAge_f() if (input$factor_age == TRUE) { ggplot(demos2, aes(ed_code)) + geom_bar() + facet_wrap(~ age_f, ncol= 3) + theme_bw() + labs(title= "Education Level by Age Bracket", y= "Count of Individuals", x= "Education Level") + theme(axis.text.x= element_text(angle= 90)) } else if (input$factor_age == FALSE) { ggplot(demos2, aes(ed_code)) + geom_bar() + theme_bw() + labs(title= "Education Level of your Members", y= "Count of Individuals", x= "Education Level") + theme(axis.text.x= element_text(angle= 90)) } }) # generate a plot of members' estimated income levels output$plot_inc &lt;- reactivePlot(function() { # call to update age factor if needed updateAge_f() if (input$factor_age == TRUE) { ggplot(demos2, aes(inc)) + geom_bar() + facet_wrap(~ age_f, ncol= 3) + theme_bw() + labs(title= "Estimated Income by Age Bracket", y= "Count of Individuals", x= "Estimated Income Range") + theme(axis.text.x= element_text(angle= 90)) } else if (input$factor_age == FALSE) { ggplot(demos2, aes(inc)) + geom_bar() + theme_bw() + labs(title= "Estimated Income of your Members", y= "Count of Individuals", x= "Estimated Income Range") + theme(axis.text.x= element_text(angle= 90)) } }) # generate a plot of members' homeownership output$plot_h_own &lt;- reactivePlot(function() { # call to update age factor if needed updateAge_f() if (input$factor_age == TRUE) { ggplot(demos2, aes(homeOwner)) + geom_bar() + facet_wrap(~ age_f, ncol= 3) + theme_bw() + labs(title= "Home Ownership by Age Bracket", y= "Count of Individuals", x= "Home Owner / Renter") + theme(axis.text.x= element_text(angle= 90)) } else if (input$factor_age == FALSE) { ggplot(demos2, aes(homeOwner)) + geom_bar() + theme_bw() + labs(title= "Home Ownership of your Members", y= "Count of Individuals", x= "Home Owner / Renter") + theme(axis.text.x= element_text(angle= 90)) } }) }) </code></pre> <p>Any help would be appreciated, still trying to learn shiny (like everyone else).</p>
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    1. CODoes "# ... more to follow..." mean that there's more code there that you're not showing us?
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    2. CONo, it means there is more code that I plan to write
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    3. COThis only thing that I see that looks suspect is that you're passing a single number to value in sliderInput(), when, especially if it's a range, you're supposed to use c(bottom,top)
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      1. USBrandon Bertelsen
 

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