Using an R package as platform for harmonized cleaning of data from RTI MicroPEM air quality sensors
RTI MicroPEM is a small particulate matter personal exposure monitor, increasingly used in developed and developing countries. Each measurement session produces a csv file which includes a header with information on instrument settings and a table of thousands of observations of time-varying variables such as particulate matter concentration, relative humidity. Files need to be processed for 1) generating a format suitable for further analysis and 2) cleaning the data to deal with the instruments shortcomings.