Time-Weighted Averaging for Interval Data

Perform fast and memory efficient time-weighted averaging of values measured over intervals into new arbitrary intervals. This package is useful in the context of data measured or represented as constant values over intervals on a one-dimensional discrete axis (e.g. time-integrated averages of a curve over defined periods). This package was written specifically to deal with air pollution data recorded or predicted as averages over sampling periods. Data in this format often needs to be shifted to non-aligned periods or averaged up to periods of longer duration (e.g. averaging data measured over sequential non-overlapping periods to calendar years).


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.8.0 by Michael Young, a year ago

Browse source code at https://github.com/cran/intervalaverage

Authors: Michael Young [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp

Depends on data.table

Suggests knitr, rmarkdown, testthat

Linking to Rcpp

See at CRAN