General purpose data filtering for PurpleAir Timeseries objects

Source: R/pat_filter.R

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

pat_filter(pat, ...)

Arguments

pat

PurpleAir Timeseries pat object.

...

Logical predicates defined in terms of the variables in the pat$data.

Value

A subset of the incoming pat.

Examples


library(AirSensor)

unhealthy <- pat_filter(example_pat, pm25_A > 55.5, pm25_B > 55.5)
head(unhealthy$data)
#> # A tibble: 6 × 21
#>   datetime            sensor_index  rssi uptime pa_latency memory humidity
#>   <dttm>                     <dbl> <dbl>  <dbl>      <dbl>  <dbl>    <dbl>
#> 1 2022-07-05 03:45:46         3515   -78   9019        653  15168       77
#> 2 2022-07-05 03:49:46         3515   -79   9259        576  15872       78
#> 3 2022-07-05 04:07:59         3515   -78  10342        368  14872       80
#> 4 2022-07-05 04:09:46         3515   -77  10459       3203  15168       80
#> 5 2022-07-05 04:11:47         3515   -78  10579        331  15168       80
#> 6 2022-07-05 04:13:48         3515   -79  10699        311  15168       81
#> # ℹ 14 more variables: temperature <dbl>, pressure <dbl>, pm1_atm_A <dbl>,
#> #   pm1_atm_B <dbl>, pm25_atm_A <dbl>, pm25_atm_B <dbl>, pm10_atm_A <dbl>,
#> #   pm10_atm_B <dbl>, pm25_A <dbl>, pm25_B <dbl>, adc0 <dbl>, bsec_iaq <dbl>,
#> #   datetime_A <dttm>, datetime_B <dttm>