--- title: "Start Here" output: html_document: theme: flatly keep_md: yes number_sections: true highlighted: default toc: yes toc_float: collapsed: no smooth_scroll: no toc_depth: 2 vignette: > %\VignetteIndexEntry{Start Here} %\VignetteEncoding{UTF-8}{inputenc} %\VignetteEngine{knitr::rmarkdown} --- ```{r, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>", warning = FALSE, message = FALSE ) ``` ## Installing and loading StreamCatTools To install, you can install from CRAN: ```{r, message=FALSE, eval=FALSE} install.packages("StreamCatTools") ``` Or you can install from GitHub: ```{r, message=FALSE, eval=FALSE} library(devtools) install_github('USEPA/StreamCatTools') ``` After installing load the library ```{r, message=FALSE} library(StreamCatTools) ``` ## Background The `StreamCatTools` package was designed to simplify the use of [StreamCat](https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset) data in R, leveraging the new [API for StreamCat](https://api.epa.gov/StreamCat/streams/metrics). # Vignettes in `StreamCatTools` There are three additional vignettes in `StreamCatTools` that are available on our website [here](https://usepa.github.io/StreamCatTools/) under the "Articles" tab: 1. Introduction * An overview of the basic fucntionality of the package 2. LakeCat * An overview of accessing data for lakes within the package and functions to do so 3. Applications * A more in depth walk through with specific use-case examples and demonstrations These vignettes cover some of the core functions (and arguments within those functions) in `StreamCatTools`. Help files for a particular function are viewable by running `?function_name` after loading `StreamCatTools`. For example, to learn more about the `sc_get_data()` function, run `?sc-get_data`. # Citation information If you use `StreamCatTools` in your work, please cite it. You can view the most recent citation by running ```{r} citation("StreamCatTools") ```