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Husson, F., Josse, J., Le, S. and Mazet, J. (2013) FactoMineR: Multivariate Exploratory Data Analysis and Data Mining with R. R Package Version 1.25. http://CRAN.R-project.org/package=FactoMineR.

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• TITLE: SesIndexCreatoR: An R Package for Socioeconomic Indices Computation and Visualization

  AUTHORS: Benoît Lalloué, Séverine Deguen, Jean-Marie Monnez, Cindy Padilla, Wahida Kihal, Denis Zmirou-Navier, Nolwenn Le Meur

  KEYWORDS: Socioeconomic Status, Multidimensional Index, Principal Component Analysis, Hierarchical Classification, R

  JOURNAL NAME: Open Journal of Statistics, Vol.5 No.4, June 8, 2015

  ABSTRACT: In order to study social inequalities, indices can be used to summarize the multiple dimensions of the socioeconomic status. As a part of the Equit’Area Project, a public health program focused on social and environmental health inequalities; a statistical procedure to create (neighborhood) socioeconomic indices was developed. This procedure uses successive principal components analyses to select variables and create the index. In order to simplify the application of the procedure for non-specialists, the R package SesIndexCreatoR was created. It allows the creation of the index with all the possible options of the procedure, the classification of the resulting index in categories using several classical methods, the visualization of the results, and the generation of automatic reports.