Created
April 22, 2015 10:32
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| library(sensorweby) | |
| library(shiny) | |
| library(sensorweb4R) | |
| # 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 Timeplot", | |
| caption = c(en = "Timeplot", de = "Timeplot"), | |
| swcIntervalInput("time"), | |
| swcTimeseriesInput("series"), | |
| swcFullPanel( | |
| plotOutput("timePlot", width = "100%", height = "100%")) | |
| ) | |
| ), | |
| # create the server side of the application in the "server" parameter | |
| server = shinyServer(function(input, output, session) { | |
| output$timePlot <- renderPlot({ | |
| # validate whether a time series has been selected in the client | |
| validate( | |
| need(length(input$series) > 0, 'No Timeseries selected'), | |
| need(input$time, "No timespan selected") | |
| ) | |
| # request the data | |
| data <- getData(input$series, timespan = input$time) | |
| # create a data.frame containing all series | |
| times <- unique(sort(do.call(c, lapply(data, time)))) | |
| values <- lapply(data, function(x) value(x)[match(times, time(x))]) | |
| names(values) <- sensorweb4R::id(input$series) | |
| values$date <- times | |
| df <- as.data.frame(values) | |
| # validate if data frame contains data | |
| validate(need(dim(df)[1] > 0, "No data available")) | |
| # plot it | |
| openair::timePlot(df, name.pol = label(input$series), ylab = c(), | |
| plot.type = "h", smooth = TRUE, ci = TRUE, | |
| pollutant = names(df)[!(names(df) %in% "date")]) | |
| }) | |
| }))) |
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