Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓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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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.0%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
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Repository
What the Package Does (One Line, Title Case)
Basic Info
- Host: GitHub
- Owner: cassws
- License: other
- Language: R
- Default Branch: main
- Homepage: https://zoews.github.io/ussie/
- Size: 387 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 4 years ago
· Last pushed almost 4 years ago
Metadata Files
Readme
Changelog
License
Citation
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# ussie
[](https://github.com/zoews/ussie/actions/workflows/R-CMD-check.yaml)
[](https://github.com/zoews/ussie/actions/workflows/test-coverage.yaml)
Here is a sample package created at the 2022 Tidy Tools Workshop in Washington, DC! We will standardize and transform European football (soccer) data to compare across messy datasets. This is a way to practice using the package development tooling in R.
## Installation
You can install the development version of ussie from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("zoews/ussie")
```
## Example
Here is an example using Spain's European Football data.
```{r example}
library(ussie)
spain <- uss_make_matches(engsoccerdata::spain, "Spain")
summary(spain)
```
### Get matches
Here is a way to get matches
```{r matches_example}
library(ussie)
spain <- uss_get_matches("spain")
summary(spain)
```
We could add filtering params
```{r uss_get_matches_filter}
uss_get_matches("england", season == 1966)
```
Owner
- Name: Cass Wilkinson Saldaña
- Login: cassws
- Kind: user
- Location: Philadelphia, PA
- Website: cassws.net
- Twitter: mxcatnap
- Repositories: 1
- Profile: https://github.com/cassws
Data science educator + open source developer exploring critical data literacies, NLP, and cute photos of cats. Enthusiastically bad at pinball.
Citation (CITATION.cff)
# -----------------------------------------------------------
# CITATION file created with {cffr} R package, v0.2.2
# See also: https://docs.ropensci.org/cffr/
# -----------------------------------------------------------
cff-version: 1.2.0
message: 'To cite package "ussie" in publications use:'
type: software
license: MIT
title: 'ussie: Stanardizing and Transforming European Football Data'
version: 0.0.0.9000
abstract: Here is a sample package created at the 2022 Tidy Tools Workshop in Washington,
DC! We will standardize and transform European football (soccer) data to compare
across messy datasets. This is a way to practice using the package development tooling
in R.
authors:
- family-names: Wilkinson Saldana
given-names: Cass
email: cass.z.ws@gmail.com
preferred-citation:
type: manual
title: 'ussie: Stanardizing and Transforming European Football Data'
authors:
- family-names: Wilkinson Saldana
given-names: Cass
email: cass.z.ws@gmail.com
version: 0.0.0.9000
abstract: Here is a sample package created at the 2022 Tidy Tools Workshop in Washington,
DC! We will standardize and transform European football (soccer) data to compare
across messy datasets. This is a way to practice using the package development
tooling in R.
repository-code: https://github.com/zoews/ussie
url: https://github.com/zoews/ussie
contact:
- family-names: Wilkinson Saldana
given-names: Cass
email: cass.z.ws@gmail.com
license: MIT
year: '2022'
repository-code: https://github.com/zoews/ussie
url: https://github.com/zoews/ussie
contact:
- family-names: Wilkinson Saldana
given-names: Cass
email: cass.z.ws@gmail.com
references:
- type: software
title: dplyr
abstract: 'dplyr: A Grammar of Data Manipulation'
notes: Imports
authors:
- family-names: Wickham
given-names: Hadley
email: hadley@rstudio.com
orcid: https://orcid.org/0000-0003-4757-117X
- family-names: François
given-names: Romain
orcid: https://orcid.org/0000-0002-2444-4226
- family-names: Henry
given-names: Lionel
- family-names: Müller
given-names: Kirill
orcid: https://orcid.org/0000-0002-1416-3412
year: '2022'
url: https://CRAN.R-project.org/package=dplyr
- type: software
title: tibble
abstract: 'tibble: Simple Data Frames'
notes: Imports
authors:
- family-names: Müller
given-names: Kirill
email: krlmlr+r@mailbox.org
- family-names: Wickham
given-names: Hadley
email: hadley@rstudio.com
year: '2022'
url: https://CRAN.R-project.org/package=tibble
- type: software
title: engsoccerdata
abstract: 'engsoccerdata: English and European Soccer Results 1871-2016'
notes: Suggests
authors:
- family-names: Curley
given-names: James
year: '2022'
url: https://CRAN.R-project.org/package=engsoccerdata
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Dependencies
DESCRIPTION
cran
- cli * imports
- dplyr * imports
- engsoccerdata * imports
- rlang * imports
- tibble * imports
- withr * imports
- knitr * suggests
- rmarkdown * suggests
- testthat >= 3.0.0 suggests