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slides24sta5077z

https://github.com/miguelrodo/slides24sta5077z

Science Score: 44.0%

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

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (9.8%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: MiguelRodo
  • Language: TeX
  • Default Branch: 2025
  • Size: 2.53 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed 7 months ago
Metadata Files
Readme Citation Codemeta

README.Rmd 

---
output: github_document
---



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

# {{ Package }}




The goal of {{ Package }} is to ...

## Installation

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

``` r
# install.packages("devtools")
devtools::install_github("MiguelRodo/Slides24STA5077Z")
```
The purpose of Slides24STA5077Z is to create slides and demonstration content for STA5077Z, the Data Science MSc module on unsupervised learning.


## Citation


## Citation

To cite `Slides24STA5077Z` in publications use:
@Misc{rodo,
  title = {Slides24STA5077Z: Slides for STA5077Z MSc Data Science module on unsupervised learning},
  author = {Miguel Rodo},
  url = {https://github.com//Slides24STA5077Z/#readme},
  abstract = {Slides for STA5077Z MSc Data Science module on unsupervised learning},
  version = {0.0.0-1},
}

Owner

  • Name: Miguel Rodo
  • Login: MiguelRodo
  • Kind: user

Citation (CITATION.cff) 

# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "Slides24STA5077Z" in publications use:'
type: software
title: 'Slides24STA5077Z: Slides for STA5077Z MSc Data Science module on unsupervised
  learning'
version: 0.0.0-1
abstract: Slides for STA5077Z MSc Data Science module on unsupervised learning
authors:
- family-names: Rodo
  given-names: Miguel
  email: miguel.rodo@uct.ac.za
preferred-citation:
  type: generic
  title: 'Slides24STA5077Z: Slides for STA5077Z MSc Data Science module on unsupervised
    learning'
  authors:
  - family-names: Rodo
    given-names: Miguel
    email: miguel.rodo@uct.ac.za
  url: https://github.com//Slides24STA5077Z/#readme
  abstract: Slides for STA5077Z MSc Data Science module on unsupervised learning
  version: 0.0.0-1
repository-code: https://github.com//Slides24STA5077Z
url: https://github.com//Slides24STA5077Z/#readme
contact:
- family-names: Rodo
  given-names: Miguel
  email: miguel.rodo@uct.ac.za

CodeMeta (codemeta.json) 

{
  "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
  "@type": "SoftwareSourceCode",
  "identifier": "Slides24STA5077Z",
  "description": "Slides for STA5077Z MSc Data Science module on unsupervised learning",
  "name": "Slides24STA5077Z: Slides for STA5077Z MSc Data Science module on unsupervised\n    learning",
  "relatedLink": "https://github.com//Slides24STA5077Z/#readme",
  "codeRepository": "https://github.com//Slides24STA5077Z",
  "issueTracker": "https://github.com//Slides24STA5077Z/issues",
  "license": "{{ License }}",
  "version": "0.0.0.1",
  "programmingLanguage": {
    "@type": "ComputerLanguage",
    "name": "R",
    "url": "https://r-project.org"
  },
  "runtimePlatform": "R version 4.4.1 (2024-06-14)",
  "author": [
    {
      "@type": "Person",
      "givenName": "Miguel",
      "familyName": "Rodo",
      "email": "miguel.rodo@uct.ac.za"
    }
  ],
  "maintainer": [
    {
      "@type": "Person",
      "givenName": "Miguel",
      "familyName": "Rodo",
      "email": "miguel.rodo@uct.ac.za"
    }
  ],
  "softwareRequirements": {
    "SystemRequirements": null
  },
  "fileSize": "2104.878KB",
  "citation": [
    {
      "@type": "CreativeWork",
      "author": [
        {
          "@type": "Person",
          "givenName": "Miguel",
          "familyName": "Rodo",
          "email": "miguel.rodo@uct.ac.za"
        }
      ],
      "name": "Slides24STA5077Z: Slides for STA5077Z MSc Data Science module on unsupervised learning",
      "url": "https://github.com//Slides24STA5077Z/#readme"
    }
  ]
}

GitHub Events

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Dependencies

DESCRIPTION cran