datelife
is an R package that allows researchers and the general
audience to obtain open scientific data on the age of any organism they
are interested in, by retrieving organism ages from a database of dated
phylogenetic trees (aka chronograms), that have been peer-reviewed and
published as part of a scientific research article, in an indexed
journal (Open Tree of Life’s tree
store). As such, organism ages
retrieved by datelife
constitute state-of-the-art, peer-reviewed,
public scientific knowledge, that can be accessed and reused by experts
and non-experts in the field alike.
You can install the datelife
R package on your own computer and use it
locally.
If you do not want/have time to deal with installation and R code, you can use DateLife’s interactive website application.
To learn more, please go to datelife
’s documentation
website.
datelife
’s most recent stable version can be installed with:
install.packages("datelife")
datelife
’s previous stable versions are available for installation
from the CRAN repository. For example, to install version 0.6.1
, you
can run:
devtools::install_version("datelife", version="0.6.1")
You can install datelife
’s development version from its GitHub
repository with:
devtools::install_github("phylotastic/datelife")
If you use datelife
for a publication, please cite the R package and
the accompanying paper:
O’Meara B, Sanchez-Reyes L, Eastman J, Heath T, Wright A, Schliep K, Chamberlain S, Midford P, Harmon L, Brown J, Pennell M, Alfaro M (2022). datelife: Scientific Data on Time of Lineage Divergence for Your Taxa. R package version 0.6.5, https://doi.org/10.5281/zenodo.593938.
Sanchez-Reyes L, O’Meara B (2019). “datelife: Leveraging databases and analytical tools to reveal the dated Tree of Life.” bioRxiv, 782094. https://doi.org/10.1101/782094.
You can get these citations and the bibtex entry with:
citation("datelife")
toBibtex(citation("datelife"))
We welcome and encourage to post a GitHub
issue with any
comments, ideas and questions about datelife
’s software and website.
If you want to contribute with code directly, we welcome and encourage
pull requests.
Package and function documentation was generated with roxygen2:
roxygen2::roxygenise()
We used the package lintr to check for coding style:
lintr::lint_package()
Code coverage was calculated with the package covr:
cov <- covr::package_coverage()
usethis::use_data(cov, overwrite = TRUE)
You can see an interactive report of testing coverage:
covr::report(cov)
And, find code with zero coverage:
covr::zero_coverage(cov)
Code used to generate current datelife
’s logo hexsticker is in
data-raw/hexsticker-current.R
Vignettes are rendered automatically upon built. However, if you wish to
see how they look rendered before releasing the package, you can do this
with knitr::knit()
. The following command renders the vignette
Getting_started_with_datelife
as html:
knitr::knit("vignettes/Getting_started_with_datelife.Rmd")
Using pkgdown
for this is quite straightforward and fun:
usethis::use_pkgdown()
pkgdown::build_site()
Run the following function from the package
usethis
to
update R CMD Check on GitHub:
usethis::use_github_action_check_standard()
This downloads the standard R CMD check workflow from r-lib action examples.
To be able to release to CRAN, the first step is to pass the checks
locally. To run a local check, you can use the command R CMD check
from your terminal. For that, change directories to the one above your
working clone of the datelife
repo:
cd ../
Generate a tar ball for your package by running
R CMD build package-name
:
R CMD build datelife
Finally, run R CMD check package-tar-ball
on the tar ball that you
just generated:
R CMD check --as-cran datelife_0.6.0.tar.gz
If you do not have access to different OS to test your package on, the rhub package allows remote testing on a variety of OS with the command:
rhub::check_for_cran()
For more rhub
useful workflows, check out its
documentation. For
example
previous_checks <- rhub::list_package_checks(".",
email = "sanchez.reyes.luna@gmail.com",
howmany = 4)
group_check <- rhub::get_check(previous_checks$group[1])
group_check
cran_prep <- check_for_cran()
cran_prep$cran_summary()
To submit to CRAN call devtools::release()
and answer the prompted
questions. If the answer to all of these is yes, the package will be
submitted to CRAN 🚀
To check for URL validity specifically, use:
devtools::check_win_release()
This package is free and open source software, licensed under GPL.
datelife
has been developed as part of the
phylotastic (NSF-funded) project, and is
still under development.