The goal of statscience is to …
You can install the released version of statscience from CRAN with:
install.packages("statscience")
And the development version from GitHub with:
# install.packages("devtools") devtools::install_github("bendeivide/statscience")
This is a basic example which shows you how to solve a common problem:
library(statscience) ## 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.
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!