| AQEval {AQEval} | R Documentation |
Air Quality Evaluation
Description
R AQEval: R code for the analysis of discrete change in Air Quality time-series.
AQEval
AQEval was developed for use by those tasked with
the routine detection, characterisation and quantification
of discrete changes in air quality time-series.
The main functions, quantBreakPoints
and quantBreakSegments, use
break-point/segment (BP/S) methods
based on the consecutive use of methods in the
strucchange and segmented R packages
to first detection (as break-points) and then characterise
and quantify (as segments), discrete changes in
air-quality time-series.
AQEval functions adopt an openair-friendly
approach using function and data structures that many
in the air quality research community are already familiar
with.
Most notably, most functions expect supplied data
to be time-series, to be supplied as a single
data.frame (or similar R object), and for
time-series to be identified by column names.
The main functions are typically structured expect
first the data.frame, then the name of the
pollutant to be used, then other arguments:
function(data, "polluant.name", ...)
output <- function(data, "polluant.name", ...)
Author(s)
Karl Ropkins
References
Ropkins et al (In Prep).
See Also
For more about data structure and an example data set,
see AQEval.data
For more about the main functions, see
quantBreakPoints
and quantBreakSegments