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Principal Components Analysis in the Software Assistat-Statistical Assistance

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  7th World Congress on Computers in Agriculture Conference Proceedings, 22-24 June 2009, Reno, Nevada (electronic only)  711P0409e.(doi:10.13031/2013.29066)
Authors:   Francisco de Assis Santos e Silva, Carlos Alberto Vieira de Azevedo
Keywords:   Keywords: statistics, variance analysis, sensorial analysis, statistical tests.

New routines were added to the software Assistat-Statistical Assistance, which became itself still more useful for experimental data analysis of the agricultural research and of works of dissertations and thesis. Those routines were the following ones: a) tests of Bartlett, Cochran and Friedman; b) principal components analysis (PCA); c) polinomial regression for quantitative treatments; d) confounding and other methods of ANOVA. An example of application of PCA was presented by using the Assistat and it was concluded that the software is an appropriate tool for use of PCA applied to data of food sensorial analysis. The new version of the software is available for free download in the following site:

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