sensor_filter: Data filtering for AirSensor objects

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

Data filtering for AirSensor objects

Description

A generalized data filter for sensor objects to choose rows/cases where conditions are true. Multiple conditions are combined with & or seperated by a comma. Only rows where the condition evaluates to TRUE are kept.Rows where the condition evaluates to NA are dropped.

Usage

sensor_filter(sensor = NULL, ...)

Arguments

sensor	An AirSensor object.
...	Logical predicates defined in terms of the variables in sensor$data.

Value

A subset of the incoming sensor.

Note

Filtering predicates are applied to the data dataframe within the sensor object.

See Also

sensor_filterDate

sensor_filterMeta

Examples

library(AirSensor)

teens <- sensor_filter(example_sensor, 
                          example_sensor$data$`6f71a0c5f076deda_9392` <  20, 
                          example_sensor$data$`6f71a0c5f076deda_9392` >= 10)
head(teens$data)

MazamaScience/AirSensor documentation built on April 28, 2023, 11:16 a.m.