The goal of penguinclassify is to …
You can install the development version of penguinclassify from GitHub with:
# install.packages("devtools")
devtools::install_github("DSCI-310/2023-03-16-penguinclassify")
This is a basic example which shows you how to solve a common problem:
library(penguinclassify)
classify_penguin(100, 50)
#> [1] "Chinstrap"
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.