This function calculates the air quality categories for the data and colors the data by AQ cateogry when it is added to a plot. The default is to add them as bars.

stat_AQCategory(
  mapping = NULL,
  data = NULL,
  mv4Colors = FALSE,
  nowcast = TRUE,
  geom = "bar",
  position = "identity",
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE,
  ...
)

Arguments

mapping

Set of aesthetic mappings created by aes(). If specified and inherit.aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping.

data

The data to be displayed in this layer. There are three options: if NULL, the default, the data is inherited from the plot data. A data.frame or other object, will override the plot data. A function will be called witha single argument, the plot data. The return value must be a data.frame, and will be used as the layer data.

mv4Colors

If TRUE, use the colors used in the monitoring v4 site. Otherwise, use the "official" AQI colors.

nowcast

If TRUE, y values will be transformed using stat_nowcast.

geom

The geometic object to display the data

position

Position adjustment, either as a string, or the result of a call to a position adjustment function.

na.rm

remove NA values from data

show.legend

logical indicating whether this layer should be included in legends.

inherit.aes

if FALSE, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and the aesthetics and shouldn't inherit behaviour from the default plot specificatino, eg borders().

...

additional arguments passed on to layer(), such as aesthetics.

Examples

ggplot_pm25Timeseries(
  AirMonitor::Carmel_Valley,
  startdate = 20160801,
  enddate = 20160815
) +
  stat_AQCategory()
#> Warning: Removed 242 rows containing missing values (`geom_bar()`).


ggplot_pm25Timeseries(
  AirMonitor::Carmel_Valley,
  startdate = 20160801,
  enddate = 20160805
) +
  geom_line() +
  stat_AQCategory(
    geom = "point",
    size = 2,
    shape = 21,
    color = 1
  )
#> Warning: Removed 454 rows containing missing values (`geom_line()`).
#> Warning: Removed 456 rows containing missing values (`geom_point()`).