NDLI: Dynamic graphics of parametrically linked multivariate methods used in compositional data analysis

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Dynamic graphics of parametrically linked multivariate methods used in compositional data analysis

Content Provider	Semantic Scholar
Author	Greenacre, Michael
Copyright Year	2008
Abstract	Many multivariate methods that are apparently disti nct can be linked by introducing one or more parameters in their definition. Methods th at can be linked in this way are correspondence analysis, unweighted or weighted log rati analysis (the latter also known as "spectral mapping"), nonsymmetric correspo ndence analysis, principal component analysis (with and without logarithmic tr ansformation of the data) and multidimensional scaling. In this presentation I w ill show how several of these methods, which are frequently used in compositional d ta analysis, may be linked through parametrizations such as power transformati ons, linear transformations and convex linear combinations. Since the methods of i nterest here all lead to visual maps of data, a "movie" can be made where where the link ing parameter is allowed to vary in small steps: the results are recalculated "frame by frame" and one can see the smooth change from one method to another. Several of thes e "movies" will be shown, giving a deeper insight into the similarities and difference s b tween these methods.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://dugi-doc.udg.edu/bitstream/handle/10256/747/GreenacreCodawork2008_new_25_4_08.pdf?sequence=1
Alternate Webpage(s)	https://repositori.upf.edu/bitstream/handle/10230/830/1082.pdf;jsessionid=8B158383995AFE26DFDFEC008B3F736C?sequence=1
Language	English
Access Restriction	Open
Subject Keyword	Clinicaltrials.gov NCT Number for the Expanded Access Record Compositional data Correspondence analysis Graphics Image scaling Map Movies Multidimensional scaling Population Parameter Principal component analysis Tweens cell transformation
Content Type	Text
Resource Type	Article

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