- Authors: Kshitiz Gupta, Carl Boettiger
- License: MIT
- Package source code on Github
- Submit Bugs and feature requests
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.
- 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.
You can install the development version from Github with:
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
Please see the ramlegacy vignette for more detailed examples and additional package functionality.
Start by loading the package using library
.
library(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 package. This
location is also where load_ramlegacy()
by default will look for the
downloaded database.
# 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) :
# downloads current latest version 4.44
download_ramlegacy()
The latest versions of the RAM Legacy Database are archived in
Zenodo 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:
# downloads older version 4.3
download_ramlegacy(version = "4.3")
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)
# 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.
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:
# 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")
-
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. -
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.
Current and older versions of the RAM Legacy Database are archived in Zenodo, 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.
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
Several publications have relied on the RAM Legacy Stock Assessment Database.