The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

padr: Quickly Get Datetime Data Ready for Analysis

Transforms datetime data into a format ready for analysis. It offers two core functionalities; aggregating data to a higher level interval (thicken) and imputing records where observations were absent (pad).

Version: 0.6.2
Depends: R (≥ 3.0.0)
Imports: Rcpp, dplyr (≥ 1.0.0), lubridate, rlang
LinkingTo: Rcpp
Suggests: ggplot2, testthat, knitr, rmarkdown, lazyeval, tidyr, data.table
Published: 2022-11-23
Author: Edwin Thoen
Maintainer: Edwin Thoen <edwinthoen at gmail.com>
BugReports: https://github.com/EdwinTh/padr/issues
License: MIT + file LICENSE
URL: https://github.com/EdwinTh/padr
NeedsCompilation: yes
Materials: README NEWS
In views: MissingData
CRAN checks: padr results

Documentation:

Reference manual: padr.pdf
Vignettes: Introduction to 'padr'
Custom thickening and padding
Implementation Information of 'padr'

Downloads:

Package source: padr_0.6.2.tar.gz
Windows binaries: r-devel: padr_0.6.2.zip, r-release: padr_0.6.2.zip, r-oldrel: padr_0.6.2.zip
macOS binaries: r-release (arm64): padr_0.6.2.tgz, r-oldrel (arm64): padr_0.6.2.tgz, r-release (x86_64): padr_0.6.2.tgz, r-oldrel (x86_64): padr_0.6.2.tgz
Old sources: padr archive

Reverse dependencies:

Reverse imports: corporaexplorer, fHMM, timetk, wearables

Linking:

Please use the canonical form https://CRAN.R-project.org/package=padr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.