Created
April 22, 2015 10:32
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| library(sensorweby) | |
| library(shiny) | |
| library(sensorweb4R) | |
| library(openair) | |
| # calling the shinyApp function creates a new Shiny application | |
| runApp(shinyApp( | |
| # create the client side of the application in the "ui" parameter | |
| ui = shinyUI( | |
| # the swcPage creates a new sensor web client layout | |
| swcPage( | |
| title="Sensorweby Scatterplot", | |
| caption = c(en = "Scatterplot", | |
| de = "Scatterplot"), | |
| swcIntervalInput("time"), | |
| swcTimeseriesInput("series"), | |
| swcLeftPanel(plotOutput("scatterPlot", width="100%", height="100%")), | |
| swcRightPanel(header = "Parameters", | |
| # select between different plotting options: | |
| selectInput( | |
| 'methodScatterPlot', 'scatterplot method', | |
| choices = c( | |
| "conventional scatter plot" = "scatter", | |
| "hexbin" = "hexbin", | |
| # optional: needs an x, y and z timeseries. | |
| # See "z = sensorweb4R::id(input$series)[3]," below | |
| # "binned or smooth surface plot" = "level", | |
| "2D kernel density estimates" = "density" | |
| ), selectize = TRUE | |
| ), | |
| selectInput( | |
| 'typeScatterPlot', 'scatterplot type', | |
| choices = c( | |
| "no time‐based differentiation" = "default", | |
| "weekdays versus weekend" = "weekend", | |
| "per day of the week" = "weekday", | |
| "per season" = "season", | |
| "per month" = "month", | |
| "per year" = "year", | |
| "per hour" = "hour" | |
| ), selectize = TRUE | |
| ), | |
| selectInput( | |
| 'colorScatterPlot', 'colours used', | |
| choices = c( | |
| "jet" = "jet", | |
| "increment" = "increment", | |
| "heat" = "heat", | |
| "default" = "default" | |
| ), selectize = TRUE | |
| ), | |
| checkboxInput( | |
| 'linearScatterPlot', 'trendline', value = TRUE | |
| ) | |
| ) | |
| ) | |
| ), | |
| # create the server side of the application in the "server" parameter | |
| server = shinyServer(function(input, output, session) { | |
| output$timeseriesSelection <- renderUI({ | |
| validate(need(length(input$series) > 0, "No timeseries selected."), | |
| need(length(input$series) > 1, "Not enough timeseries selected.")) | |
| choices <- resourceURL(input$series) | |
| names(choices) <- label(input$series) | |
| selectInput("selectedTimeseries", | |
| label = "Timeseries", | |
| choices = choices) | |
| }) | |
| output$scatterPlot<- renderPlot({ | |
| validate( | |
| need(length(input$series) > 0, 'No Timeseries selected'), | |
| need(input$time, "No timespan selected") | |
| ) | |
| data <- getData(input$series, timespan = input$time) | |
| times <- unique(sort(do.call(c, lapply(data, time)))) | |
| values <- lapply(data, function(x) value(x)[match(times, time(x))]) | |
| names(values) <- label(input$series) | |
| values$date <- times | |
| df <- as.data.frame(values) | |
| validate(need(dim(df)[1] > 0, "No data available")) | |
| scatterPlot(df, | |
| x = names(df)[1], | |
| y = names(df)[2], | |
| # optional: for methodScatterPlot = level or scatter | |
| # z = names(df)[3], | |
| xlab = label(input$series)[1], | |
| ylab = label(input$series)[2], | |
| # getting interaction from “selectInput” and “checkboxInput” in the shinyUI: | |
| method = input$methodScatterPlot, | |
| col = input$colorScatterPlot, | |
| type = input$typeScatterPlot, | |
| linear = input$linearScatterPlot | |
| ) | |
| }) | |
| }) | |
| )) |
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