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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.
# NOT RUN {
library(AirSensor)
tbl <-
example_pat_failure_B %>%
PurpleAirSoH_dailyPctValid()
timeseriesTbl_multiPlot(tbl, ylim = c(0,100))
# }
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