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))