General purpose filtering for PurpleAir Synoptic objects — pas_filter • AirSensor2

A generalized data filter for *pas* objects to choose rows/cases where conditions are true. Rows where the condition evaluates to NA are dropped.

This function is essentially [dplyr::filter()] with an extra check on the validity of the *pas* object.

pas_filter(pas, ...)

Arguments

pas: PurpleAir Synoptic *pas* object.
...: Logical predicates defined in terms of the variables in the `pas`. Multiple conditions are combined with & or seperated by a comma. Only rows where the condition evaluates to TRUE are kept.

Value

A subset of the incoming *pas* object.

See also

[pas_filterArea()]

[pas_filterNear()]

[pas_filterNearMonitor()]

Examples

library(AirSensor2)

nrow(example_pas_pm25)
#> [1] 2287

# Washington
WA_pas <-
  example_pas_pm25 %>%
  pas_filter(stateCode == "WA")

nrow(WA_pas)
#> [1] 1373

# Okanogan and Ferry Counties
Colville_Tribes_pas <-
  example_pas_pm25 %>%
  pas_filter(stateCode == "WA") %>%
  pas_filter(countyName %in% c("Okanogan", "Ferry"))

nrow(Colville_Tribes_pas)
#> [1] 80