https://github.com/fdavidcl/yarr

Yet another ARFF reader
https://github.com/fdavidcl/yarr

Last synced: 5 months ago
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Yet another ARFF reader

• Host: GitHub
• URL: https://github.com/fdavidcl/yarr
• Owner: fdavidcl
• License: gpl-3.0
• Created: 2019-05-10T08:52:36.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2022-05-26T18:51:41.000Z (about 4 years ago)
• Last Synced: 2025-10-22T04:40:10.454Z (9 months ago)
• Language: R
• Homepage: http://deivi.ch/yarr/
• Size: 56.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
yarr

====

*Yet Another ARFF Reader*

[![R language](https://img.shields.io/badge/language-R-lightgrey.svg)](https://www.r-project.org/)

[![Downloads](https://cranlogs.r-pkg.org/badges/yarr)](https://cranlogs.r-pkg.org/downloads/total/last-month/yarr)

[![GPL v3 license](https://img.shields.io/github/license/fdavidcl/yarr.svg)](https://www.gnu.org/licenses/gpl.html)

---

So you need to read an ARFF file. You can use:

- `foreign::read.arff`, but only on dense format.

- `farff::readARFF`, but only on dense format.

- `RWeka::read.arff`, but you need to configure Java.

`yarr::read.arff` can read dense **and sparse** ARFF files, and it's implemented in pure R.

The implementations in R are derivatives of those in [`mldr`](https://github.com/fcharte/mldr) and [`mldr.datasets`](https://github.com/fcharte/mldr.datasets), packages for management of multilabel learning datasets.

### Usage

```r

install.packages("yarr")

# or the most recent version:

# remotes::install_github("fdavidcl/yarr")

library(yarr)

download.file("https://www.openml.org/data/download/1681111/phpEUwA95", "dexter.arff")

dexter <- read.arff("dexter.arff")

dexter

# An ARFF dataset: dexter

# 20001 attributes and 600 instances

#   V0: numeric (min = 0, mean = 0.12, max = 72) 0, 0, 0, 0, 0...

#   V1: numeric (min = 0, mean = 0, max = 0) 0, 0, 0, 0, 0...

#   V2: numeric (min = 0, mean = 0, max = 0) 0, 0, 0, 0, 0...

#   V3: numeric (min = 0, mean = 1.165, max = 427) 0, 0, 0, 0, 0...

#   V4: numeric (min = 0, mean = 0.57, max = 342) 0, 0, 0, 0, 0...

#   V5: numeric (min = 0, mean = 0.386666666666667, max = 116) 0, 0, 0, 0, 0...

#   V6: numeric (min = 0, mean = 0, max = 0) 0, 0, 0, 0, 0...

#   V7: numeric (min = 0, mean = 0.448333333333333, max = 121) 0, 0, 0, 0, 0...

#   V8: numeric (min = 0, mean = 0.358333333333333, max = 84) 0, 0, 0, 0, 0...

#   ...

#   class: {-1,1} (-1: 300, 1: 300) 1, 1, 1, -1, 1...

relation(dexter)

# [1] "dexter"

write.arff(dexter, "dexter-new.arff")

```

### Supported features

- Dense format

- Sparse format (`{index value}`, e.g. `{0 1, 20 1}`)

- Missing values with `?`

- MEKA parameter `c` in `@relation`.

### Unsupported features

- Date attributes are read as mere strings

- Relational attributes are not supported

- Instance weights