scorer

Knowledge discovery platform in Shiny for reproducible analysis of multi-objective optimization data.

https://github.com/verbalins/scorer

Science Score: 44.0%

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CITATION.cff file
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codemeta.json file
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.zenodo.json file
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Scientific vocabulary similarity
Low similarity (12.1%) to scientific vocabulary

Last synced: 10 months ago · JSON representation ·

Repository

Knowledge discovery platform in Shiny for reproducible analysis of multi-objective optimization data.

Basic Info

Host: GitHub
Owner: verbalins
License: other
Language: R
Default Branch: main
Homepage:
Size: 30.2 MB

Statistics

Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 2

Created over 5 years ago · Last pushed over 3 years ago

Metadata Files

Readme Changelog License Code of conduct Citation

README.Rmd

---
output: github_document
---



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

# SCORER


[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)


The goal of SCORER is to allow reproducible knowledge extraction of multi-objective optimization data, primarily obtained from simulation-based optimization. The package contains methods as well as a Shiny application reachable at [shinyapps.io](https://verbalins.shinyapps.io/SCORER/) if you want to preview the app. 

## Installation

You can install the development version from [GitHub](https://github.com/) with:

``` r
# install.packages("devtools")
devtools::install_github("verbalins/SCORER")
```
## Example

This is a basic example which shows you how to solve a common problem:

``` r
library(SCORER)

# Launch the knowledge extraction browser
SCORER::run_app()

# To pre-populate the browser with a dataset, 
# use the dataset parameter with data imported by
# the loaddataset function.
# df <- SCORER::loaddataset("datafile.csv")
# SCORER::run_app(dataset=df)
```

Owner

Login: verbalins
Kind: user

Repositories: 2
Profile: https://github.com/verbalins

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Lidberg"
  given-names: "Simon"
  affiliation: University of Skövde
  orcid: "https://orcid.org/0000-0003-1215-152X"
identifiers:
  - description: This is the archived snapshot of version 0.0.0.9000
    type: doi
    value: "10.5281/zenodo.5897602"
title: "SCORER"
license: CC-BY-4.0
version: 0.0.0.9000
date-released: 2022-01-24
url: "https://github.com/verbalins/SCORER"

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