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License: GNU General Public License v3.0
--- output: github_document --- <!-- README.md is generated from README.Rmd. Please edit that file --> ```{r, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" ) ``` # statConcepts <!-- badges: start --> [![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental) <!-- badges: end --> The goal of statConcepts is to ... ## Installation You can install the development version of statConcepts like so: ``` r # FILL THIS IN! HOW CAN PEOPLE INSTALL YOUR DEV PACKAGE? ``` ## Example This is a basic example which shows you how to solve a common problem: ```{r example} library(statConcepts) ## basic example code ``` What is special about using `README.Rmd` instead of just `README.md`? You can include R chunks like so: ```{r cars} summary(cars) ``` 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: ```{r pressure, echo = FALSE} plot(pressure) ``` In that case, don't forget to commit and push the resulting figure files, so they display on GitHub and CRAN.
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