https://github.com/crsh/depgraph
Provides an R function to plot the complete dependency graph of an R package and helps to cut down on dependencies.
Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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✓Committers with academic emails
2 of 3 committers (66.7%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (17.1%) to scientific vocabulary
Keywords from Contributors
apa
apa-guidelines
journal
psychology
reproducible-paper
rmarkdown
Last synced: 10 months ago
·
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Repository
Provides an R function to plot the complete dependency graph of an R package and helps to cut down on dependencies.
Basic Info
- Host: GitHub
- Owner: crsh
- License: other
- Language: R
- Default Branch: main
- Size: 649 KB
Statistics
- Stars: 42
- Watchers: 2
- Forks: 2
- Open Issues: 0
- Releases: 0
Created over 5 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
License
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
set.seed(65787908)
```
# depgraph: Plot the complete dependency graph of an R package
[](https://cran.r-project.org/web/packages/depgraph/index.html) [](https://www.repostatus.org/#active)  [](https://github.com/crsh/depgraph/issues?q=is%3Aopen+is%3Aissue+label%3Abug)
Provides a function to plot the complete dependency graph of an R package and helps to cut down on dependencies.
## Installation
You can install the development version from [GitHub](https://github.com/) with:
``` r
# install.packages("remotes")
remotes::install_github("crsh/depgraph")
```
## Example
Currently, `depgraph` ships only a single function that plots the dependency graph of an R package based on its `DESCRIPTION` file.
Consider the following example.
```{r fig.align = "center", fig.cap = "Dependency graph of a historic development version of the R package `multibridge`.", fig.height = 5, fig.width = 7, warning = FALSE}
library("depgraph")
plot_dependency_graph(
pkg = multibridge_pkg
, suggests = FALSE
, option = "cividis"
)
```
Such plots can be used for at least two purposes:
1. Including dependency graphs in an R package `README` shows users how many packages their work depends on (indirectly).
This is useful as a very rough index of package reliability (less dependencies generally mean less potential for breaking upstream changes) and installation time.
2. Dependency graphs are useful to identify potential to cut down on dependencies.
Briefly, in these graphs you can look for "hot spots" in the network (big bright dots), which represent packages that have many upstream dependencies but are potentially easy to remove because they have few downstream dependencies (that is, only your package depends on them).
Some more details on how to use this graph to reduce package dependencies are given in the package vignette:
``` r
vignette("depgraph", package = "depgraph")
```
## Package dependencies
Yeah, I know...:see_no_evil:
```{r fig.align = "center", fig.cap = "Dependency graph of `depgraph`.", fig.height = 5, fig.width = 7, warning = FALSE}
plot_dependency_graph(
pkg = "."
, suggests = FALSE
, option = "cividis"
)
```
Owner
- Name: Frederik Aust
- Login: crsh
- Kind: user
- Location: Cologne, Germany
- Company: Psychological Methods, University of Amsterdam
- Website: https://frederikaust.com/
- Twitter: FrederikAust
- Repositories: 18
- Profile: https://github.com/crsh
GitHub Events
Total
- Watch event: 3
- Issue comment event: 1
- Pull request event: 1
Last Year
- Watch event: 3
- Issue comment event: 1
- Pull request event: 1
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Frederik Aust | f****t@u****e | 4 |
| Marius Barth | m****h@u****e | 1 |
| Frederik Aust | f****t@F****l | 1 |
Committer Domains (Top 20 + Academic)
uni-koeln.de: 2
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 0
- Total pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: 3 months
- Total issue authors: 0
- Total pull request authors: 2
- Average comments per issue: 0
- Average comments per pull request: 1.5
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: 6 months
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 2.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- mariusbarth (1)
- dungates (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
DESCRIPTION
cran
- devtools * imports
- ggnetwork * imports
- ggplot2 * imports
- grDevices * imports
- igraph * imports
- miniCRAN * imports
- knitr * suggests
- rmarkdown * suggests
data-raw/DESCRIPTION
cran
- R >= 3.5.0 depends
- Brobdingnag * imports
- DescTools * imports
- Rcpp >= 0.12.17 imports
- Rdpack * imports
- coda * imports
- magrittr * imports
- mvtnorm * imports
- progress * imports
- purrr * imports
- stringr * imports
- knitr * suggests
- rmarkdown * suggests
- testthat * suggests