Description
Submitting Author: Dom Bennett (@DomBennett)
Repository: https://github.com/AntonelliLab/outsider
Version submitted: 0.0.0
Editor: @annakrystalli
Reviewer 1: @nuest
Reviewer 2: @hrbrmstr
Archive: TBD
Version accepted: 0.1.0
- Paste the full DESCRIPTION file inside a code block below:
Package: outsider
Type: Package
Title: Install and run programs, outside of R, inside of R
Version: 0.0.0
Authors@R: person("Dom", "Bennett", role = c("aut", "cre"),
email = "dominic.john.bennett@gmail.com",
comment = c(ORCID = "0000-0003-2722-1359"))
Maintainer: Dom Bennett <dominic.john.bennett@gmail.com>
Description: Install and run external command-line programs in R through use of
'Docker' <https://www.docker.com/> and 'GitHub' <http://github.com/>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
SystemRequirements: docker (>=18.0.0)
URL: https://antonellilab.github.io/outsider
BugReports: https://github.com/antonellilab/outsider/issues
Language: en-GB
Depends:
R (>= 3.3.0)
Imports:
utils (>= 3.1),
crayon,
devtools (>= 1.1),
jsonlite (>= 1.1),
sys (>= 2.1),
yaml (>= 2.0),
callr (>= 3.0.0),
withr (>= 2.0),
stringr,
tibble,
cli,
praise
Suggests:
testthat (>= 2.0),
knitr (>= 1.0)
Scope
-
Please indicate which category or categories from our package fit policies this package falls under: (Please check an appropriate box below. If you are unsure, we suggest you make a pre-submission inquiry.):
- data retrieval
- data extraction
- database access
- data munging
- data deposition
- reproducibility
- geospatial data
- text analysis
-
Explain how and why the package falls under these categories (briefly, 1-2 sentences):
The aim of the package is to enable R users to install and run, within R, software, packages and programs external to R. This allows users to more readily create workflows and pipelines that are portable, reproducible and make use of a wide range of available methods outside of R.
- Who is the target audience and what are scientific applications of this package?
The target audience are data scientists, bioinformaticians and general scientists interested in running external programs within R.
- Are there other R packages that accomplish the same thing? If so, how does yours differ or meet our criteria for best-in-category?
There are many available packages that allow the interfacing between software external to R (e.g. packages for interacting with python or java). There does not, however, seem to be any packages that make use of docker (www.docker.com) to import external software as this package does. The closest packages to this one appear to be things like rocker. Rocker, however, uses docker to make R more portable, not external software accessible within R.
- If you made a pre-submission enquiry, please paste the link to the corresponding issue, forum post, or other discussion, or @tag the editor you contacted.
Technical checks
Confirm each of the following by checking the box. This package:
- does not violate the Terms of Service of any service it interacts with.
- has a CRAN and OSI accepted license.
- contains a README with instructions for installing the development version.
- includes documentation with examples for all functions.
- contains a vignette with examples of its essential functions and uses.
- has a test suite.
- has continuous integration, including reporting of test coverage using services such as Travis CI, Coveralls and/or CodeCov.
Publication options
- Do you intend for this package to go on CRAN?
- Do you wish to automatically submit to the Journal of Open Source Software? If so:
JOSS Options
- The package has an obvious research application according to JOSS's definition.
- The package contains a
paper.md
matching JOSS's requirements with a high-level description in the package root or ininst/
. - The package is deposited in a long-term repository with the DOI:
- (Do not submit your package separately to JOSS)
- The package contains a
- Do you wish to submit an Applications Article about your package to Methods in Ecology and Evolution? If so:
MEE Options
- The package is novel and will be of interest to the broad readership of the journal.
- The manuscript describing the package is no longer than 3000 words.
- You intend to archive the code for the package in a long-term repository which meets the requirements of the journal (see MEE's Policy on Publishing Code)
- (Scope: Do consider MEE's Aims and Scope for your manuscript. We make no guarantee that your manuscript will be within MEE scope.)
- (Although not required, we strongly recommend having a full manuscript prepared when you submit here.)
- (Please do not submit your package separately to Methods in Ecology and Evolution)
Code of conduct
- I agree to abide by ROpenSci's Code of Conduct during the review process and in maintaining my package should it be accepted.