This is a learning-while-doing project. The goal is to explore to workflow and practices on how to develop, refine, document, and share a R package.
The use case is the 3Di algorithm.
3Di is a composite score combining the inefficiencies observed during the horizontal and vertical flight phase.
Installation
You can install the development version of pru3di from GitHub with:
# install.packages("devtools")
devtools::install_github("rainer-rq-koelle/pru3di")Example
This is a basic example which shows you how to solve a common problem:
library(pru3di)
## basic example code
# the following will greet you
xhello("Stranger")
#> [1] "Greetings Stranger"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. :120.00You’ll still need to render README.Rmd regularly, to keep README.md up-to-date. devtools::build_readme() is handy for this.
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.