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README.Rmd
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README.Rmd
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---
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%"
)
```
# calculationSystemR
<!-- 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 calculationSystemR is to ...
## Installation
You can install the development version of calculationSystemR from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("IDEMSInternational/calculationSystemR")
```
## Example
This is a basic example which shows you how to solve a common problem:
```{r example}
library(calculationSystemR)
## 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.