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Journal of Computational and Graphical Statistics, 2010 Classical multivariate analysis techniques such as principal components analysis and correspondence analysis use inner products to estimate data values. The results of these techniques may be visualized by representing the row and column points jointly in a biplot where the projection of a row point onto a column point vector followed by a ...
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Journal of Classification, 1999
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Gower, J. C. +2 more
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Gower, J. C. +2 more
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Biplot analysis of multi-environment trial data.
Quantitative genetics, genomics and plant breeding, 2020This chapter discusses the importance of multi-environment trials (METs) in new crop cultivar release and recommendation. The problems posed by differential genotype responses in different environments (genotype environment interactions) in cultivar ...
Yan Weikai, L. A. Hunt, M. Kang
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Computational Statistics & Data Analysis, 2009
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Blasius, Jörg +2 more
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Blasius, Jörg +2 more
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EL ANALISIS BIPLOT EN CLASIFICACION
Revista Fitotecnia MexicanaEl método de análisis Biplot se presenta como una alternativa gráfica en clasificación. Se enfatiza el uso del método para la inspección de matrices de datos, sobre todo cuando se estudian grandes números de variables y la inspección visual es poco ...
J. J. Sánchez-González
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Computational Statistics & Data Analysis, 2021
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D.T. Rodwell +2 more
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D.T. Rodwell +2 more
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Biplots in biomedical research
Statistics in Medicine, 1990AbstractThe biplot is a graphical display of multivariate data. A number of examples from biomedical research illustrate its use. Biplots allow for inspection of data preliminary to formal analysis, and can follow an analysis by the graphical inspection of residuals. The simplicity and intuitive appeal of these displays is stressed.
K R, Gabriel, C L, Odoroff
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WIREs Computational Statistics, 2014
AbstractBiplots provide visualizations of two things, usually, but not necessarily, in two dimensions. This paper deals exclusively with biplots for quantitative data X; qualitative data or data in the form of counts will be addressed in a subsequent paper.
Gower, John C. +2 more
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AbstractBiplots provide visualizations of two things, usually, but not necessarily, in two dimensions. This paper deals exclusively with biplots for quantitative data X; qualitative data or data in the form of counts will be addressed in a subsequent paper.
Gower, John C. +2 more
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WIREs Computational Statistics, 2016
A previous paper, Biplots: Quantitative data, dealt exclusively with biplots for quantitative data. This paper is mainly concerned with qualitative data or data in the form of counts. Qualitative data can be nominal or ordinal, and it is usually reported in a coded numerical form.
Gower, John C. +2 more
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A previous paper, Biplots: Quantitative data, dealt exclusively with biplots for quantitative data. This paper is mainly concerned with qualitative data or data in the form of counts. Qualitative data can be nominal or ordinal, and it is usually reported in a coded numerical form.
Gower, John C. +2 more
openaire +2 more sources