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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 -->
<!-- Note: If any R/functions.R files are added or deleted this needs to be changed in the DESCRIPTION file, and the NEWS.md (changelog) file. -->
<!-- If changes are made to any of the R/functions.R (or other files), the following should be run: pkgdown::build_site() -->
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
```
# OHICORE
The `ohicore` is a package of core functions for calculating the Ocean Health Index (OHI). The goal of `ohicore` is to facilitate calculation of OHI scores both for the annual global assessments and regional assessments, within a [tailorable framework](https://peerj.com/articles/1503/). The `ohicore` R package is what brings everything together in the Ocean Health Index assessment calculations. For more information, please visit [OHI-Science.org](http://ohi-science.org). See [ohi-science.org/toolbox-training](http://ohi-science.org/toolbox-training) for more on using the `ohicore` for ocean health assessments.
## Installation
You can install ohicore from github with:
```{r gh-installation, eval = FALSE}
# devtools is needed for installing packages from Github
install.packages("devtools")
# install ohicore package
devtools::install_github('ohi-science/ohicore')
library(ohicore)
```
<!--
## Example
Create example of using ohicore functions to create visualizations e.g. the flowerplot
```{r example}
# basic example code
# ohicore::FlowerPlot -need to add score data to demo folder... 8 regions, what assessment is this? what data to add?
```
=======
# flowerplot visualization