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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 setup, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
ramlegacy
=============
[](https://cran.r-project.org/package=ramlegacy)
[](https://travis-ci.com/ropensci/ramlegacy) [](https://ci.appveyor.com/project/kshtzgupta1/ramlegacy) [](https://codecov.io/github/ropensci/ramlegacy)
[](https://www.repostatus.org/#active)
[](https://github.com/ropensci/software-review/issues/264)
- **Authors**: Kshitiz Gupta, [Carl Boettiger](https://www.carlboettiger.info/)
- **License**: [MIT](https://opensource.org/licenses/MIT)
- [Package source code on Github](https://github.com/ropensci/ramlegacy)
- [**Submit Bugs and feature requests**](https://github.com/ropensci/ramlegacy/issues)
`ramlegacy` is an R package that supports caching and reading in different versions of the RAM Legacy Stock Assessment Data Base, an online compilation of stock assessment results for commercially exploited marine populations from around the world. More information about the database can be found [here.](https://www.ramlegacy.org/)
## What does `ramlegacy` do?
- Provides a function `download_ramlegacy()`, to download all the available versions
of the RAM Legacy Stock Assessment Excel Database and cache them on the user's computer
as serialized RDS objects. This way once a version has been downloaded it doesn't need
to be re-downloaded for subsequent analysis.
- Supports reading in specified tables or all tables from a cached version of the database through a
function `load_ramlegacy()`
- Provides a function `ram_dir()` to view the path of the location where the downloaded database was cached.
## Installation
You can install the development version from [Github](https://github.com/ropensci/ramlegacy) with:
```{r, eval = FALSE, echo = TRUE}
install.packages("devtools")
library(devtools)
install_github("ropensci/ramlegacy")
```
To ensure that the vignette is installed along with the package make sure to remove `--no-build-vignettes` from the `build_opts` in `install_github`
## Usage
Please see the ramlegacy [vignette](https://docs.ropensci.org/ramlegacy/articles/ramlegacy.html) for more detailed examples and additional package functionality.
Start by loading the package using `library`.
```{r load, echo = TRUE, eval = FALSE}
library(ramlegacy)
```
### download_ramlegacy
`download_ramlegacy()` downloads the specified version of **RAM Legacy Stock Assessment Excel Database** and then saves it as an RDS object in user’s application data directory as detected by the [rappdirs](https://CRAN.R-project.org/package=rappdirs) package. This location is also where `load_ramlegacy()` by default will look for the downloaded database.
```{r, download_ramlegacy example1, eval = F, echo = T}
# downloads version 4.44
download_ramlegacy(version = "4.44")
```
If version is not specified then `download_ramlegacy` defaults to downloading current latest version (4.44) :
```{r, download_ramlegacy_example2, eval = F, echo = T}
# downloads current latest version 4.44
download_ramlegacy()
```
The latest versions of the RAM Legacy Database are [archived in Zenodo](https://zenodo.org/communities/rlsadb/) but the older versions (v4.3, v3.0, v2.5, v2.0, v1.0) are not. To ensure access to these older versions of the database `download_ramlegacy` supports downloading them from this [Github repository](https://www.github.com/kshtzgupta1/ramlegacy-assets/):
```{r, download_ramlegacy_example3, eval = F, echo = T}
# downloads older version 4.3
download_ramlegacy(version = "4.3")
```
### load_ramlegacy
After the specified version of the database has been downloaded and cached on your local machine through `download_ramlegacy` you can call `load_ramlegacy` to obtain a list of specific tables/all the tables from that version of the database. If version is not specified but tables is then `load_ramlegacy` defaults to returning a list containing the specified dataframes from the latest version (currently 4.44). If both version and tables are not specified then `load_ramlegacy` defaults to returning a list containing all the dataframes in the latest version (currently 4.44)
```{r, load_ramlegacy example1, eval = F, echo = T}
# get a list containing area and bioparams tables from
# version 4.3 of the database
load_ramlegacy(version = "4.3", tables = c("area", "bioparams"))
# get a list containing area and bioparams tables from version 4.44
# of the database
load_ramlegacy(version = "4.44", tables = c("area", "bioparams"))
# if tables is specified but version is not then the function defaults
# to returning a list containing the specified tables from the current
# latest version 4.44
load_ramlegacy(tables = c("area", "bioparams"))
# since both tables and version are not specified the function returns
# a list containing all the tables from the current latest version 4.44
load_ramlegacy()
```
To learn more about the different tables present in the database, what the various acronyms mean and the different stock summaries accompanying the databases please see this [page.](https://docs.ropensci.org/ramlegacy/articles/tables_description.html)
### ram_dir
To view the exact path where a certain version of the database was downloaded and cached by `download_ramlegacy` you can run `ram_dir(vers = 'version')`, specifying the version number inside the function call:
```{r, ram_dir_example1, eval = F, echo = T}
# download version 4.44
download_ramlegacy(version = "4.44")
# view the location where version 4.44 of the database was
# downloaded and cached
ram_dir(vers = "4.44")
```
## Similar Projects
1. [`ramlegacy`](https://github.com/seananderson/ramlegacy)
Sean Anderson has a namesake package that appears to be a stalled project on Github (last updated 9 months ago). However, unlike this package which supports downloading and reading in the Excel version of the database, Sean Anderson's project downloads the Microsoft Access version and converts it to a local sqlite3 database.
2. [`RAMlegacyr`](https://github.com/ashander/RAMlegacyr)
`RAMlegacyr` is an older package last updated in 2015. Similar to Sean Anderson's project, the package seems to be an R interface for the Microsoft Access version of the RAM Legacy Stock Assessment Database and provides a set of functions using RPostgreSQL to connect to the database.
## Citation
Current and older versions of the RAM Legacy Database are [archived in Zenodo](https://zenodo.org/communities/rlsadb/), each version with its own unique DOI. The suggested format for citing data is:
RAM Legacy Stock Assessment Database. 2018. Version 4.44-assessment-only. Released 2018-12-22. Accessed [Date accessed YYYY-MM-DD]. Retrieved from [DOI:10.5281/zenodo.2542919.](https://zenodo.org/record/2542919#.XE-rFs9KjBI)
The primary publication describing the RAM Legacy Stock Assessment Database, and suggested citation for general use is:
Ricard, D., Minto, C., Jensen, O.P. and Baum, J.K. (2012) Evaluating the knowledge base and status of commercially exploited marine species with the RAM Legacy Stock Assessment Database. Fish and Fisheries 13 (4) 380-398. [DOI: 10.1111/j.1467-2979.2011.00435.x](https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-2979.2011.00435.x)
Several [publications](https://sites.uw.edu/ramlegac/publications/) have relied on the RAM Legacy Stock Assessment Database.
[](https://ropensci.org)