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boxfilter  

Filter Noisy Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("boxfilter", "0.2")



Attach the package and use:
library("boxfilter")
Maintained by
Thomas Ruf
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-28
Latest Update: 2023-05-24
Description:
Noise filter based on determining the proportion of neighboring points. A false point will be rejected if it has only few neighbors, but accepted if the proportion of neighbors in a rectangular frame is high. The size of the rectangular frame as well as the cut-off value, i.e. of a minimum proportion of neighbor-points, may be supplied or can be calculated automatically. Originally designed for the cleaning of heart rates, but suitable for filtering any slowly-changing physiological variable.For more information see Signer (2010).
How to cite:
Thomas Ruf (2022). boxfilter: Filter Noisy Data. R package version 0.2, https://cran.r-project.org/web/packages/boxfilter. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:23), 0.1 (2022-11-28 11:00)
Other packages that cited boxfilter R package
View boxfilter citation profile
Other R packages that boxfilter depends, imports, suggests or enhances
Complete documentation for boxfilter
Functions, R codes and Examples using the boxfilter R package
Some associated functions: boxclip . clipview . ibex_hr . showdata . sleepduration . store . summary.boxclip . wb_month . wb_year . 
Some associated R codes: boxclip.R . clipview.R . showdata.R . store.R . summary.boxclip.R .  Full boxfilter package functions and examples
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