shinyssdtools

shinyssdtools: A web application for fitting Species Sensitivity Distributions (SSDs) - Published in JOSS (2021)

https://github.com/bcgov/shinyssdtools

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 7 DOI reference(s) in README and JOSS metadata
  • Academic publication links
    Links to: wiley.com, joss.theoj.org
  • Committers with academic emails
    1 of 10 committers (10.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

env species-sensitivity-distribution ssd water-quality-guideline

Keywords from Contributors

ecotoxicology
Last synced: 6 months ago · JSON representation

Repository

Shiny interface to ssdtools R package

Basic Info
Statistics
  • Stars: 8
  • Watchers: 4
  • Forks: 4
  • Open Issues: 4
  • Releases: 0
Topics
env species-sensitivity-distribution ssd water-quality-guideline
Created about 8 years ago · Last pushed 8 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Support

README.Rmd

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# shinyssdtools


[![Lifecycle: maturing](https://img.shields.io/badge/Lifecycle-Maturing-007EC6)](https://github.com/bcgov/repomountie/blob/master/doc/lifecycle-badges.md)
[![R-CMD-check](https://github.com/bcgov/shinyssdtools/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/bcgov/shinyssdtools/actions/workflows/R-CMD-check.yaml)
[![Apache license](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![DOI](https://joss.theoj.org/papers/10.21105/joss.02848/status.svg)](https://doi.org/10.21105/joss.02848)


`shinyssdtools` is a Shiny application for fitting Species Sensitivity Distributions (SSDs) using [`ssdtools`](https://github.com/bcgov/ssdtools).

## Utilization

The most recent version is available online at .

To install the development version from [GitHub](https://github.com/bcgov/shinyssdtools) and deploy locally use

``` r
# install.packages("devtools")
devtools::install_github("bcgov/shinyssdtools")
library(shinyssdtools)
shinyssdtools::run_app()
```

## Features

In addition to being a Graphical User Interface to the core functionality in the [`ssdtools`](https://github.com/bcgov/ssdtools) package, `shinyssdtools` also provides 

- a bilingual (English/French) interface;
- generation of R scripts for reproducibility;
- customization and downloads of plots and tables
- Generation of html/pdf report

## Information

For more information including how to cite `shinyssdtools` see [Dalgarno (2021)](https://doi.org/10.21105/joss.02848).

For a review of `ssdtools` and `shinysddtools` in the context of other SSD software packages see [Fox et al. (2021)](https://onlinelibrary.wiley.com/doi/10.1002/etc.4925).

## Assistance

To report bugs/issues/feature requests, please file an [issue](https://github.com/bcgov/shinyssdtools/issues/).

## Contribution

If you would like to contribute, please see our [CONTRIBUTING](CONTRIBUTING.md) guidelines.

Please note that this project is released with a [Contributor Code of Conduct](https://github.com/bcgov/shinyssdtools/blob/master/.github/CONTRIBUTING.md). By participating in this project you agree to abide by its terms.

## Deploying to shinyapps.io

### Manually

Run the `deploy-app.R` script in the scripts directory (after setting the account argument to be your `shinyapps.io` account name).

### Automatically

If your `shinyapps.io` account name is the same as your GitHub account name simply make a commit in the master or dev branch and include `deploy app` in the message 
(after setting `SHINYAPPS_TOKEN` and `SHINYAPPS_SECRET` in your repository GitHub secrets). 
This triggers the `deploy-app.yml` GitHub action.

## License

The code is released under the Apache License 2.0

Copyright 2021 Province of British Columbia

Licensed under the Apache License, Version 2.0 (the "LICENSE");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at 

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

-----

Creative Commons Licence
ssdtools by the Province of British Columbia is licensed under a Creative Commons Attribution 4.0 International License.

Owner

  • Name: bcgov
  • Login: bcgov
  • Kind: organization
  • Email: Developer.Experience@gov.bc.ca
  • Location: Canada

This is the home for code that is open

JOSS Publication

shinyssdtools: A web application for fitting Species Sensitivity Distributions (SSDs)
Published
January 25, 2021
Volume 6, Issue 57, Page 2848
Authors
Seb Dalgarno ORCID
Poisson Consulting Ltd., Nelson, British Columbia
Editor
Marcos Vital ORCID
Tags
Shiny ssdtools species sensitivity distributions

GitHub Events

Total
  • Issues event: 3
  • Watch event: 1
  • Issue comment event: 1
  • Push event: 11
  • Pull request review event: 5
  • Pull request event: 17
Last Year
  • Issues event: 3
  • Watch event: 1
  • Issue comment event: 1
  • Push event: 11
  • Pull request review event: 5
  • Pull request event: 17

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 501
  • Total Committers: 10
  • Avg Commits per committer: 50.1
  • Development Distribution Score (DDS): 0.267
Past Year
  • Commits: 69
  • Committers: 3
  • Avg Commits per committer: 23.0
  • Development Distribution Score (DDS): 0.29
Top Committers
Name Email Commits
Seb Dalgarno s****b@p****a 367
Ayla Pearson a****3@g****m 74
Joe Thorley j****e@p****a 41
Angeline Tillmanns A****s@g****a 7
Andy Teucher a****r@g****a 5
Nadine Hussein n****3@g****m 3
repo-mountie[bot] 4****] 1
Eduard Szöcs E****D 1
Daniel S. Katz d****z@i****g 1
Azizishirazi A****H@B****V 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 73
  • Total pull requests: 47
  • Average time to close issues: 7 months
  • Average time to close pull requests: 17 days
  • Total issue authors: 6
  • Total pull request authors: 8
  • Average comments per issue: 1.11
  • Average comments per pull request: 0.55
  • Merged pull requests: 40
  • Bot issues: 7
  • Bot pull requests: 1
Past Year
  • Issues: 3
  • Pull requests: 15
  • Average time to close issues: N/A
  • Average time to close pull requests: 12 days
  • Issue authors: 2
  • Pull request authors: 3
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.27
  • Merged pull requests: 12
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • sebdalgarno (77)
  • joethorley (23)
  • repo-mountie[bot] (7)
  • aylapear (4)
  • elimillera (3)
  • eduardszoecs (1)
Pull Request Authors
  • sebdalgarno (29)
  • aylapear (14)
  • joethorley (8)
  • nadinehussein (2)
  • eduardszoecs (2)
  • dunkenwg (1)
  • danielskatz (1)
  • repo-mountie[bot] (1)
Top Labels
Issue Labels
Difficulty: 1 Simple (14) Type: Enhancement (14) Effort: 2 Medium (13) Effort: 1 Low (12) Difficulty: 2 Intermediate (11) Priority: 3 Medium (10) Priority: 2 High (9) Priority: 4 Low (6) Type: Docs (4) Difficulty: 3 Advanced (3) Effort: 3 High (3) Priority: 1 Critical (3) Type: Bug (2) Type: Refactor (2) Type: Testing (1) Next Release (1)
Pull Request Labels

Dependencies

DESCRIPTION cran
  • R >= 3.5 depends
  • ssdtools >= 1.0.1 depends
  • DT * imports
  • RColorBrewer * imports
  • dplyr * imports
  • ggplot2 * imports
  • glue * imports
  • lifecycle * imports
  • magrittr * imports
  • markdown * imports
  • readr * imports
  • rhandsontable * imports
  • shiny * imports
  • shinyjs * imports
  • stats * imports
  • waiter * imports
  • covr * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • rsconnect * suggests
  • ssddata * suggests
  • testthat * suggests
.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v3 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/deploy-app.yaml actions
  • 8398a7/action-slack v3.0.0 composite
  • actions/checkout v2 composite
  • r-lib/actions/setup-pandoc master composite
  • r-lib/actions/setup-r master composite
.github/workflows/pkgdown.yaml actions
  • JamesIves/github-pages-deploy-action v4.4.1 composite
  • actions/checkout v3 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite