inst/examples/timePlot/server.R

In 52North/sensorweby: An JS Sensor Web Client with Advanced Analytics through R and Shiny

# Copyright 2014 52°North Initiative for Geospatial Open Source Software GmbH
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

library(sensorweby)
library(openair)
library(sensorweb4R)
library(lubridate)
library(futile.logger)

shinyServer(function(input, output, session) {
    output$timePlot<- renderPlot({
        validate(
            need(length(input$series) > 0, 'No Timeseries selected'),
            need(input$time, "No timespan selected")
        )
        data <- getData(input$series, timespan = input$time)
        times <- unique(sort(do.call(c, lapply(data, time))))
        values <- lapply(data, function(x) value(x)[match(times, time(x))])
        names(values) <- sensorweb4R::id(input$series)
        values$date <- times
        df <- as.data.frame(values)
        validate(need(dim(df)[1] > 0, "No data available"))

        # We can't simply use `sensorweb4R::id(input$series)` as pollutant names,
        # as the IDs may be integers that will be transformed to `X<id>` when we
        # create the `data.frame` and so can not be found by `timePlot`. So to
        # be safe use the names generated by the `data.frame`:
        pollutants <- names(df)[!(names(df) %in% "date")]

        timePlot(df, pollutant = pollutants,
                 name.pol = label(input$series),
                 plot.type = "h", smooth = TRUE,
                 ci = TRUE, ylab=c())
    })
})