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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 the Rmd file -->
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
# Please put your title here to include it in the file below.
Title <- "Densities and population dynamics of red-backed salamanders in Western Maryland"
```
# sparcnetfsu
[](https://mybinder.org/v2/gh/djhocking/sparcnetfsu/master?urlpath=rstudio)
[](https://travis-ci.org/djhocking/sparcnetfsu)
<!--
This repository contains the data and code for our paper:
> Authors, (YYYY). _`r Title`_. Name of journal/book <https://doi.org/xxx/xxx>
Our pre-print is online here:
> Authors, (YYYY). _`r Title`_. Name of journal/book, Accessed `r format(Sys.Date(), "%d %b %Y")`. Online at <https://doi.org/xxx/xxx>
-->
### How to cite
Please cite this compendium as:
> Authors, (`r format(Sys.Date(), "%Y")`). _Compendium of R code and data for `r Title`_. Accessed `r format(Sys.Date(), "%d %b %Y")`. Online at <https://doi.org/xxx/xxx>
### How to download or install
You can download the compendium as a zip from from this URL: <https://github.com/djhocking/sparcnetfsu/archive/master.zip>
Or you can install this compendium as an R package, sparcnetfsu, from GitHub with:
```{r gh-installation, eval = FALSE}
# install.packages("devtools")
remotes::install_github("djhocking/sparcnetfsu")
```
### Licenses
**Text and figures :** [CC-BY-4.0](http://creativecommons.org/licenses/by/4.0/)
**Code :** See the [DESCRIPTION](DESCRIPTION) file
**Data :** [CC-0](http://creativecommons.org/publicdomain/zero/1.0/) attribution requested in reuse
### Permits and Permissions
**IACUC AUP:** A2017-006, A2018-013
**State Permits:** 56702
### Contributions
We welcome contributions and collaborations. Before you get started, please see our [contributor guidelines](CONTRIBUTING.md). Please note that this project is released with a [Contributor Code of Conduct](CONDUCT.md). By participating in this project you agree to abide by its terms.
### Resources
This compendium was build using the R package `rrtools`: [https://github.com/benmarwick/rrtools](https://github.com/benmarwick/rrtools)
You can read more about the concept of reproducible research and using this compendium concept at [https://peerj.com/preprints/3192.pdf](https://peerj.com/preprints/3192.pdf)