The number of valid (i.e., not NA or out-of-spec) sensor
measurements are summed over the course of a calendar day, then divided by the
total number of measurements the sensor actually recorded during that day
(including NA and out-of-spec values) to return a percentage of the total
recorded measurements that are considered plausible. This metric utilizes the
same bounds as the pat_qc()
function to identify out-of-spec values.
PurpleAirSoH_dailyPctValid(pat = NULL)
PurpleAir Timeseries pat object.
library(AirSensor)
tbl <-
example_pat %>%
PurpleAirSoH_dailyPctValid()
timeseriesTbl_multiPlot(tbl, ylim = c(0,100))