Package: trackclean 0.1.0

trackclean: Tools for Cleaning High-Frequency Real-Time Location Tracking Data

Provides data cleaning and preprocessing tools for high-frequency positional data from real-time location tracking systems (UWB, RFID, and similar technologies), with functions for ID mapping, time period marking, data standardization, and two-phase conditional gap interpolation.

Authors:Tomas Bilevicius [aut, cre]

trackclean_0.1.0.tar.gz
trackclean_0.1.0.zip(r-4.7)trackclean_0.1.0.zip(r-4.6)trackclean_0.1.0.zip(r-4.5)
trackclean_0.1.0.tgz(r-4.6-any)trackclean_0.1.0.tgz(r-4.5-any)
trackclean_0.1.0.tar.gz(r-4.7-any)trackclean_0.1.0.tar.gz(r-4.6-any)
trackclean_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
trackclean/json (API)

# Install 'trackclean' in R:
install.packages('trackclean', repos = c('https://tomasbil.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tomasbil/trackclean/issues

On CRAN:

Conda:

2.70 score 7 exports 28 dependencies

Last updated from:3d5a72468e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK130
source / vignettesOK152
linux-release-x86_64OK127
macos-release-arm64OK139
macos-oldrel-arm64OK185
windows-develOK83
windows-releaseOK87
windows-oldrelOK71
wasm-releaseOK242

Exports:%>%clean_playground_datafix_tag_replacementinterpolate_gapsmap_idsmark_time_periodsstandardize_to_seconds

Dependencies:bitbit64clicliprcpp11crayondplyrgenericsgluehmslifecyclelubridatemagrittrpillarpkgconfigprettyunitsprogressR6readrrlangtibbletidyselecttimechangetzdbutf8vctrsvroomwithr