austraits allow users to access, explore and wrangle data from the AusTraits database in R. This package includes several functions such as filtering and pivoting the dataset that we expect will come in handy.
For R users, access and manipulation of the data is assisted with the austraits package
For Python or other users, the Zenodo download includes a .zip file containing all the data in plain text (.csv files) and associated meta-data
Installation
The package is not on CRAN yet and is still under active development. For the current stable release of austraits, which has full capabilities of the functions used in vignettes (e.g. plotting functions), use:
#install.packages("remotes")
remotes::install_github("traitecoevo/austraits", dependencies = TRUE, upgrade = "ask")
library(austraits) Otherwise, for a lightweight installation where dependencies for plotting and the vignettes will not be installed, use:
remotes::install_github("traitecoevo/austraits", upgrade = "ask")Take a good look at our vignettes! 👀
In our website, we have also included information about the structure of the database, definitions of the traits and some tutorials that uses our functions as well as some tidyverse functions to create some commonly used data output formats. We highly recommend starting here before jumping into the database!
If you prefer to view the vignettes in R, we recommend installing the package with build_vignettes = TRUE.
remotes::install_github("traitecoevo/austraits",
dependencies = TRUE, upgrade = "ask",
build_vignettes = TRUE)
vignette("austraits")Show us some support 💚
Please consider citing austraits, we would super appreciate it!
citation("austraits")
#>
#> To cite austraits in publications use:
#>
#> Falster, D., Gallagher, R., Wenk, E.H. et al. AusTraits, a curated
#> plant trait database for the Australian flora. Sci Data 8, 254
#> (2021). https://doi.org/10.1038/s41597-021-01006-6
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Article{,
#> title = {AusTraits, a curated plant trait database for the Australian flora},
#> author = {Daniel Falster and Rachael Gallagher and Elizabeth Wenk et al.},
#> journal = {Scientific Data},
#> year = {2021},
#> volume = {8},
#> number = {1},
#> pages = {254 - 274},
#> url = {https://doi.org/10.1038/s41597-021-01006-6},
#> }Behind the scenes 🔧
Check out austraits.build, if you are interested in how AusTraits the database is managed and created