Data filtering for AirSensor objects

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.

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)
#>              datetime 6f71a0c5f076deda_9392
#> 1 2022-07-01 05:00:00              12.07950
#> 2 2022-07-01 06:00:00              11.17250
#> 3 2022-07-01 07:00:00              13.56950
#> 4 2022-07-01 08:00:00              11.53033
#> 5 2022-07-01 09:00:00              14.11150
#> 6 2022-07-01 10:00:00              16.02233