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Using Functional Data Analysis (FDA) Methodology and the R Package 'fda' for Sensory Time-Intensity Evaluation.
- Source :
-
Journal of Sensory Studies . Dec2013, Vol. 28 Issue 6, p474-482. 9p. - Publication Year :
- 2013
-
Abstract
- Measuring and analyzing time-intensity ( T- I) of sensory attributes is an important subject of sensory analysis. This paper proposes using functional data analysis ( FDA), an emerging field in statistical research, as a new strategy and framework for sensory T- I data analysis. This paper discusses and illustrates how to apply the well-developed FDA techniques and use the available R package 'fda' to analyze sensory T- I data. The analyses include data smoothing, descriptions of functional data, functional regression analysis, functional analysis of variance and permutation tests of functional hypotheses (functional F-tests and t-tests). Some conclusions about applications of FDA to sensory T- I data are reached. Practical Applications The currently used statistical analysis for sensory T- I data is not well developed. There are some limitations of using univariate and multivariate data analyses for sensory T- I data. FDA is a promising alternative. This paper shows some advantages using FDA and the R package 'fda' for the analysis of sensory T- I data. It is expected that the introduction and application of FDA in the sensory field will dramatically improve data analysis for T- I evaluation of sensory attributes. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08878250
- Volume :
- 28
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Journal of Sensory Studies
- Publication Type :
- Academic Journal
- Accession number :
- 92661198
- Full Text :
- https://doi.org/10.1111/joss.12072