This function calculates the daily percentage of DC signal
recorded by the pm25_A, pm25_B, humidity, and
temperature channels. The data are flagged as DC signal when the
standard deviation of an hour of data from each channel equals zero.
The number of hours with a DC signal are summed over the day and a daily DC
percentage for each channel is returned.
This metric allows users to identify “sticky values”, or instances of a sensor continuously logging the same value. A high percent DC value indicates the likely occurrence of a “sticky value”, and a zero or low percent DC indicates that the sensor is recording dynamic data.
PurpleAirSoH_dailyPctDC(pat = NULL)Arguments
- pat
PurpleAir Timeseries pat object.
Examples
library(AirSensor)
tbl <-
example_pat %>%
PurpleAirSoH_dailyPctDC()
timeseriesTbl_multiPlot(tbl, ylim = c(0,100))
