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Exploratory data analysis and manipulation functions for multi-label data sets along with an interactive Shiny application to ease their use.


Use install.packages to install mldr and its dependencies:


Alternatively, you can install it via install_github from the devtools package.


Building from source

Use devtools::build from devtools to build the package:

devtools::build(args = "--compact-vignettes=gs+qpdf")

Usage and examples

This package provides a web GUI able to load, visualize and manipulate multi-label data sets. You can launch it using the R console:


There are several functions available as well, so that you can use mldr in an R script. For example, to explore some data sets:


# Data sets birds, emotions and genbase are
# provided within the package

mldr enables you to create new multi-label data sets via the mldr_from_dataframe function, and export them to the standard ARFF format using write_arff:


df <- data.frame(matrix(rnorm(1000), ncol = 10))
df$Label1 <- c(sample(c(0,1), 100, replace = TRUE))
df$Label2 <- c(sample(c(0,1), 100, replace = TRUE))
mymldr <- mldr_from_dataframe(df, labelIndices = c(11, 12), name = "testMLDR")

# Writes .arff and .xml files for a multi-label dataset
write_arff(mymldr, "my_new_mldr")

For more examples and detailed explanation on available functions, please refer to the documentation.


Please, cite mldr as follows:

  author       = {Francisco Charte and David Charte}, 
  title        = {Working with Multilabel Datasets in {R}: The mldr Package}, 
  journal      = {The R Journal},
  year         = 2015,
  volume       = 7,
  number       = 2,
  pages        = {149--162},
  month        = dec,
  url          = {}

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