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.

lay: Simple but Efficient Rowwise Jobs

Creating efficiently new column(s) in a data frame (including tibble) by applying a function one row at a time.

Version: 0.1.3
Depends: R (≥ 2.10)
Imports: rlang, purrr, vctrs, tibble
Suggests: bench, covr, data.table, dplyr (≥ 1.0), forcats, ggplot2, ggbeeswarm, knitr, rmarkdown, slider, testthat (≥ 2.1.0), tidyr, spelling
Published: 2023-10-30
DOI: 10.32614/CRAN.package.lay
Author: Alexandre Courtiol ORCID iD [aut, cre], Romain François ORCID iD [aut]
Maintainer: Alexandre Courtiol <alexandre.courtiol at gmail.com>
BugReports: https://github.com/courtiol/lay/issues/
License: MIT + file LICENSE
URL: https://courtiol.github.io/lay/, https://github.com/courtiol/lay/
NeedsCompilation: no
Language: en-US
Citation: lay citation info
Materials: README NEWS
CRAN checks: lay results

Documentation:

Reference manual: lay.pdf

Downloads:

Package source: lay_0.1.3.tar.gz
Windows binaries: r-devel: lay_0.1.3.zip, r-release: lay_0.1.3.zip, r-oldrel: lay_0.1.3.zip
macOS binaries: r-release (arm64): lay_0.1.3.tgz, r-oldrel (arm64): lay_0.1.3.tgz, r-release (x86_64): lay_0.1.3.tgz, r-oldrel (x86_64): lay_0.1.3.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=lay 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.