Create a plot with default mappings and styling. Layers can then be added to this plot using ggplot2 syntax.

ggplot_pm25Diurnal(
  monitor,
  startdate = NULL,
  enddate = NULL,
  timezone = NULL,
  ylim = NULL,
  shadedNight = TRUE,
  mapping = aes_(x = ~hour, y = ~pm25),
  base_size = 11,
  ...
)

Arguments

monitor

Default dataset to use when adding layers. Must be either a mts_monitor object or mts_tidy 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.

timezone

Timezone to use to set hours of the day.

ylim

custom y-axis limits. This function will apply a default limit depending on the data.

shadedNight

add nighttime shading based on of middle day in selected period.

mapping

Default mapping for the plot.

base_size

Base font size for theme.

...

Additional arguments passed on to custom_pm25DiurnalScales.

Examples

monitor <- AirMonitor::Carmel_Valley
ggplot_pm25Diurnal(monitor) +
  coord_polar() +
  geom_pm25Points() +
  custom_aqiStackedBar(width = 1, alpha = .3)
#> Warning: The following aesthetics were dropped during statistical transformation: x, y
#>  This can happen when ggplot fails to infer the correct grouping structure in
#>   the data.
#>  Did you forget to specify a `group` aesthetic or to convert a numerical
#>   variable into a factor?
#> Warning: Removed 9 rows containing missing values (`geom_pm25points()`).


ggplot_pm25Diurnal(
  monitor,
  startdate = 20160801,
  enddate = 20160810
) +
  stat_boxplot(aes(group = hour))
#> Warning: Removed 7 rows containing non-finite values (`stat_boxplot()`).