Calculate rollingMean values taking account of data capture thresholds
rollingMean(mydata, pollutant = "o3", width = 8, new.name = "rolling", data.thresh = 75, align = "centre", ...)
A data frame containing a
The name of a pollutant e.g.
The averaging period (rolling window width) to use
The name given to the new rollingMean variable. If not supplied it will create a name based on the name of the pollutant and the averaging period used.
The data capture threshold in
calculated if data capture over the period of interest is less
than this value. For example, with
specifyies how the moving window should be
other arguments, currently unused.
This is a utility function mostly designed to calculate rolling mean statistics relevant to some pollutant limits e.g. 8 hour rolling means for ozone and 24 hour rolling means for PM10. However, the function has a more general use in helping to display rolling mean values in flexible ways e.g. with the rolling window width left, right or centre aligned.
The function will try and fill in missing time gaps to get a full time sequence but return a data frame with the same number of rows supplied.
## rolling 8-hour mean for ozone mydata <- rollingMean(mydata, pollutant = "o3", width = 8, new.name = "rollingo3", data.thresh = 75, align = "right")