Statistical analysis and graphical display of multivariate data on the Macintosh | Zendy

Jean Thioulouse | Zendy

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Statistical analysis and graphical display of multivariate data on the Macintosh

Author(s) -

Jean Thioulouse

Publication year - 1989

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/5.4.287

Subject(s) - statistical graphics , graphics , principal component analysis , multivariate statistics , graphical user interface , computer science , multivariate analysis , set (abstract data type) , graphical display , computer graphics , data set , data mining , correspondence analysis , principal (computer security) , graphical model , computer graphics (images) , artificial intelligence , programming language , machine learning , operating system

Two Macintosh programs written for multivariate data analysis and multivariate data graphical display are presented. MacMul includes principal component analysis (PCA), correspondence analysis (CA) and multiple correspondence analysis (MCA), with a complete, original and unified set of numerical aids to interpretation. GraphMu is designed for drawing collections of elementary graphics (curves, maps, graphical models) thus allowing comparisons between variables, individuals, and principal axes planes of multivariate methods. Both programs are self-documented applications and make full use of the user-oriented graphical interface of the Macintosh to simplify the process of analysing data sets. An example is described to show the results obtained on a small ecological data set.

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