Benoît Lalloué^1,2, Séverine Deguen^2,3*, Jean-Marie Monnez⁴, Cindy Padilla^2,3, Wahida Kihal^2,3, Denis Zmirou-Navier^2,3,5, Nolwenn Le Meur²

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¹ Institut Gustave Roussy, Paris, France.
² EHESP Rennes, Sorbonne Paris Cité, Rennes, France.
³ Inserm, UMR IRSET, Institut de recherche sur la santé l’environnement et le travail - 1085, Rennes, France.
⁴ Lorraine University, CNRS, INRIA UMR 7502, Institut Elie Cartan, Lorraine, France.
⁵ Lorraine University, Medical School, Lorraine, France.
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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.

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

Cite this paper: Lalloué, B. , Deguen, S. , Monnez, J. , Padilla, C. , Kihal, W. , Zmirou-Navier, D. and Le Meur, N. (2015) SesIndexCreatoR: An R Package for Socioeconomic Indices Computation and Visualization. Open Journal of Statistics, 5, 291-302. doi: 10.4236/ojs.2015.54031.

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