pas_filter: General purpose filtering for PurpleAir Synoptic objects

In MazamaScience/AirSensor2: Process and Display Data from Air Quality Sensors

General purpose filtering for PurpleAir Synoptic objects

Description

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.

Usage

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)

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

nrow(WA_pas)

# 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)

MazamaScience/AirSensor2 documentation built on Oct. 31, 2024, 1:39 a.m.