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 codeWhat 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.
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!