Classifying three Communities of Assam Based on Anthropometric Characteristics using R Programming

Abstract

The study of anthropometric characteristics of different communities plays an important role in design, ergonomics and architecture. As the change of life style, nutrition and ethnic composition of different communities leads to obesity epidemic etc. The authors performed two experiments. In the first experiment, the authors tried to classify three communities of Assam, India based on anthropometric characteristics using R Programming. The authors mined out the statistically significant anthropometric characteristics among the Chutia, Mising and Deori communities of Assam. In the second experiment, the authors performed the Cochran Mantel Haenszel test to find out the association between the communities and BMI based nutritional status stratified by the age of the people studied.

Authors and Affiliations

Sadiq Hussain, Dali Dutta, Runjun Patir, Prof. Sarthak Sengupta, Prof. Jiten Hazarika, Prof. G. C. Hazarika

Keywords

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  • EP ID EP106527
  • DOI 10.14569/IJACSA.2015.061009
  • Views 94
  • Downloads 0

How To Cite

Sadiq Hussain, Dali Dutta, Runjun Patir, Prof. Sarthak Sengupta, Prof. Jiten Hazarika, Prof. G. C. Hazarika (2015). Classifying three Communities of Assam Based on Anthropometric Characteristics using R Programming. International Journal of Advanced Computer Science & Applications, 6(10), 64-69. https://europub.co.uk/articles/-A-106527