A generalized data filter for sts 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.
If an empty sts object is passed in, it is immediately returned, allowing for multiple filtering steps to be piped together and only checking for an empty sts object at the end of the pipeline.
sts_filter(sts, ...)sts object.
Logical predicates defined in terms of the variables in
sts$data.
A subset of the incoming sts time series object.
(A list with meta and data dataframes.)
Filtering is done on values in sts$data.
library(MazamaTimeSeries)
unhealthy <- sts_filter(example_sts, pm25_A > 55.5, pm25_B > 55.5)
head(unhealthy$data)
#> # A tibble: 6 × 19
#> datetime pm25_A pm25_B temperature humidity pressure pm1_atm_A
#> <dttm> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 2018-08-03 01:30:00 111. 110. 74 47 NA 66.9
#> 2 2018-08-06 16:46:00 57.4 56.6 72 54 NA 43.0
#> 3 2018-08-14 06:52:00 56.2 59.6 70 57 NA 33.3
#> 4 2018-08-14 07:01:00 56.5 58.0 70 57 NA 33.0
#> 5 2018-08-14 07:04:00 56.6 59.2 70 57 NA 33.3
#> 6 2018-08-14 07:05:00 56.0 59.4 70 58 NA 33.0
#> # ℹ 12 more variables: pm25_atm_A <dbl>, pm10_atm_A <dbl>, pm1_atm_B <dbl>,
#> # pm25_atm_B <dbl>, pm10_atm_B <dbl>, uptime <dbl>, rssi <dbl>, memory <dbl>,
#> # adc0 <dbl>, bsec_iaq <dbl>, datetime_A <dttm>, datetime_B <dttm>