Converts data from a pat object with an irregular time axis to an airsensor object where the numeric data has been aggregated along a standardized hourly time axis, as well as adding additional required metadata for compatibility with the *PWFSLSmoke* package.
Current QC algorithms exist for channel = "ab"
and include:
hourly_AB_00
hourly_AB_01
pat_createAirSensor_old( pat = NULL, period = "1 hour", parameter = "pm25", channel = "ab", qc_algorithm = "hourly_AB_01", min_count = 20, aggregation_FUN = pat_aggregate )
pat | PurpleAir Timeseries pat object. |
---|---|
period | Time period to average over. Can be "sec", "min", "hour", "day", "DSTday", "week", "month", "quarter" or "year". A number can also precede these options followed by a space (i.e. "2 day" or "37 min"). |
parameter | Parameter for which to create an as object -- one of "pm25", "humidity" or "temperature". |
channel | Data channel to use for PM2.5 -- one of "a", "b or "ab". |
qc_algorithm | Named QC algorithm to apply to hourly aggregation stats. |
min_count | Aggregation bins with fewer than `min_count` measurements will be marked as `NA`. |
aggregation_FUN | Function used to convert a pat object into a tibble of hourly statistics. |
An "airsensor" object of aggregated PurpleAir Timeseries data.
The aggregation_FUN
, allows users to pass in custom functions that
generate new aggregation statistics. These statistics can then be utilized
in a custom QC algorithm function. The algorithm function applied is
generated from the qc_algorithm
parameter with
paste0("PurpleAirQC_", qc_algorithm)
.
if (FALSE) { sensor <- example_pat %>% pat_filterDate(20180701, 20180901) %>% pat_createAirSensor_old() PWFSLSmoke::monitor_dailyBarplot(sensor) }