read.arff: Read an ARFF file

In mldr: Exploratory Data Analysis and Manipulation of Multi-Label Data Sets

Description

Reads a multilabel dataset from an ARFF file in Mulan or MEKA and retrieves instances distinguishing attributes corresponding to labels

Usage

read.arff(filename, use_xml = TRUE, auto_extension = TRUE, xml_file,
  label_indices, label_names, label_amount, ...)

Arguments

filename	Name of the dataset
use_xml	Specifies whether to use an associated XML file to identify the labels. Defaults to TRUE
auto_extension	Specifies whether to add the '.arff' and '.xml' extensions to the filename where appropriate. Defaults to TRUE
xml_file	Path to the XML file. If not provided, the filename ending in ".xml" will be assumed
label_indices	Optional vector containing the indices of the attributes that should be read as labels
label_names	Optional vector containing the names of the attributes that should be read as labels
label_amount	Optional parameter indicating the number of labels in the dataset, which will be taken from the last attributes of the dataset
...	Extra parameters that will be passed to the parsers. Currently only the option stringsAsFactors is available

Value

A list containing four members: dataframe containing the dataset, labelIndices specifying the indices of the attributes that correspond to labels, attributes containing name and type of each attribute and name of the dataset.

See Also

mldr_from_dataframe, mldr

Examples

library(mldr)
## Not run: 
# Read "yeast.arff" and labels from "yeast.xml"
mymld <- read.arff("yeast")

## End(Not run)

mldr documentation built on Jan. 11, 2020, 9:18 a.m.