- Some routine ideas:
- Gather species list
- Amphibia
- Birds
- Crocs
- Fishes
- Lizards
- Mammals
- Snakes
- Turtles
- BOLD Systems
- Collect the data based on two searches:
- Class + Country´
- Species names
- Collect the data based on two searches:
- NCBI
- Same as above
- Naming corretion and updates
- IUCN
- Status, spatial and trait information
- GBIF
- Trait and spatial information
- Gather species list
You can install the development version of panppbio from GitHub with:
# install.packages("devtools")
devtools::install_github("rsilveirafh/panppbio")
This is a basic example which shows you how to solve a common problem:
# library(panppbio)
## basic example code
What is special about using README.Rmd
instead of just README.md
?
You can include R chunks like so:
summary(cars)
#> speed dist
#> Min. : 4.0 Min. : 2.00
#> 1st Qu.:12.0 1st Qu.: 26.00
#> Median :15.0 Median : 36.00
#> Mean :15.4 Mean : 42.98
#> 3rd Qu.:19.0 3rd Qu.: 56.00
#> Max. :25.0 Max. :120.00
You’ll still need to render README.Rmd
regularly, to keep README.md
up-to-date. devtools::build_readme()
is handy for this. You could also
use GitHub Actions to re-render README.Rmd
every time you push. An
example workflow can be found here:
https://github.com/r-lib/actions/tree/v1/examples.
You can also embed plots, for example:
In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub and CRAN.