Exploratory Data Analysis and Manipulation of Multi-Label Data Sets

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

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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          = {https://journal.r-project.org/archive/2015-2/charte-charte.pdf}


Reference manual

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0.4.3 by David Charte, a year ago


Browse source code at https://github.com/cran/mldr

Authors: David Charte [cre] , Francisco Charte [aut] , Antonio J. Rivera [aut]

Documentation:   PDF Manual  

LGPL (>= 3) | file LICENSE license

Imports shiny, XML, circlize, graphics, grDevices, stats, methods

Suggests pROC, knitr, mldr.datasets, testthat

Depended on by utiml.

Suggested by mldr.datasets, mlr.

See at CRAN