Create an archival diurnal plot for one or more monitors — monitor_ggDailyByHour

This function assembles various layers to create a production-ready archival diurnal plot for a single monitor.

The full range of data in monitor will be used unless both startdate and enddate are specified.

monitor_ggDailyByHour_archival(
  monitor,
  startdate = NULL,
  enddate = NULL,
  id = NULL,
  style = c("large", "small"),
  title = NULL,
  timezone = NULL,
  ...
)

Arguments

monitor: A mts_monitor object.
startdate: Desired startdate for data to include, in a format that can be parsed with parseDatetime.
enddate: Desired enddate for data to include, in a format that can be parsed with parseDatetime.
id: deviceDeploymentID to include in the plot. This can be NULL if monitor only has one unique deviceDeploymentID.
style: String indicating plotting style. Either "large" or "small". style = "large" is suitable for plots larger than 450x450px, and "small" is suitable for plots 450x450px or smaller.
title: Plot title. If NULL, a suitable title will be constructed.
timezone: Olson timezone name for x-axis scale and date parsing. If NULL the timezone of the specified monitor will be used.
...: Extra arguments passed to ggplot_pm25Diurnal().

Value

A ggplot object.

Examples

library(AirMonitorPlots)

AirMonitor::Carmel_Valley %>%
  AirMonitor::monitor_trimDate() %>%
  monitor_ggDailyByHour_archival()
#> Warning: The following aesthetics were dropped during statistical transformation: x, y
#> ℹ This can happen when ggplot fails to infer the correct grouping structure in
#>   the data.
#> ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
#>   variable into a factor?
#> Warning: Removed 23 rows containing missing values (`geom_pm25points()`).


if (FALSE) {
monitor <- AirMonitor::airnow_loadLatest()
monitor_ggDailyByHour_archival(monitor, id = "51b9bcb4eaac7c9d_530330030")
}