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intervalaverage  

Time-Weighted Averaging for Interval Data
View on CRAN: Click here


Download and install intervalaverage package within the R console
Install from CRAN:
install.packages("intervalaverage")

Install from Github:
library("remotes")
install_github("cran/intervalaverage")

Install by package version:
library("remotes")
install_version("intervalaverage", "0.8.0")



Attach the package and use:
library("intervalaverage")
Maintained by
Michael Young
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-23
Latest Update: 2020-07-23
Description:
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).
How to cite:
Michael Young (2020). intervalaverage: Time-Weighted Averaging for Interval Data. R package version 0.8.0, https://cran.r-project.org/web/packages/intervalaverage. Accessed 01 Feb. 2025.
Previous versions and publish date:
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Other packages that cited intervalaverage R package
View intervalaverage citation profile
Other R packages that intervalaverage depends, imports, suggests or enhances
Complete documentation for intervalaverage
Functions, R codes and Examples using the intervalaverage R package
Some associated functions: CJ.dt . intervalaverage . intervalintersect . is.overlapping . isolateoverlaps . 
Some associated R codes: RcppExports.R . intervalaverage_functions.R . state_functions.R .  Full intervalaverage package functions and examples
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