<p>The line length indicates the importance of each variable on the two axes of the principal component analysis.</p
Attention is drawn to some useful but not generally known properties of principal components analysi...
CCA biplot representing the tissue (a) and skeletal (b) microbiome structure according to each expla...
<p>Solid-line arrows and dashed-line arrows represent the biplot scores of the relative abundances o...
<p>The first and second axes of the PCA are shown. The length of the variable arrow corresponds to t...
<p>The black circles show the sample data projected onto the first and second principal components. ...
Principal component analysis (PCA) biplot showing the ordination of studied Paramuricea macrospina c...
<p>Principal component analysis (PCA) based on trunk sprouts in natural sites (NH) and disturbed sit...
<p>Principal Component Analysis biplots: A. Bioclimatic variables PC2 vs. PC1, B. Bioclimatic variab...
<p>Global, multivariate correlation analysis. On the Biplot each body location is represented by pol...
<p>PCA plot of the environmental conditions in the study area based on 15 variables and altitude use...
<p>Ellipse with 95% is reported. The numbers on the axes indicate the amount of variance explained b...
<p>PCA axes 1 and 2 account for 84.2% of the cumulative variance. The cluster analysis of the two ma...
<p>(A) Eigenvalues of the correlation matrix symbolized as vectors representing the quality traits. ...
<p>Biplots show the correlation vectors representing the projection (in 2 dimensions) of loading for...
Attention is drawn to some useful but not generally known properties of principal components analysi...
Attention is drawn to some useful but not generally known properties of principal components analysi...
CCA biplot representing the tissue (a) and skeletal (b) microbiome structure according to each expla...
<p>Solid-line arrows and dashed-line arrows represent the biplot scores of the relative abundances o...
<p>The first and second axes of the PCA are shown. The length of the variable arrow corresponds to t...
<p>The black circles show the sample data projected onto the first and second principal components. ...
Principal component analysis (PCA) biplot showing the ordination of studied Paramuricea macrospina c...
<p>Principal component analysis (PCA) based on trunk sprouts in natural sites (NH) and disturbed sit...
<p>Principal Component Analysis biplots: A. Bioclimatic variables PC2 vs. PC1, B. Bioclimatic variab...
<p>Global, multivariate correlation analysis. On the Biplot each body location is represented by pol...
<p>PCA plot of the environmental conditions in the study area based on 15 variables and altitude use...
<p>Ellipse with 95% is reported. The numbers on the axes indicate the amount of variance explained b...
<p>PCA axes 1 and 2 account for 84.2% of the cumulative variance. The cluster analysis of the two ma...
<p>(A) Eigenvalues of the correlation matrix symbolized as vectors representing the quality traits. ...
<p>Biplots show the correlation vectors representing the projection (in 2 dimensions) of loading for...
Attention is drawn to some useful but not generally known properties of principal components analysi...
Attention is drawn to some useful but not generally known properties of principal components analysi...
CCA biplot representing the tissue (a) and skeletal (b) microbiome structure according to each expla...
<p>Solid-line arrows and dashed-line arrows represent the biplot scores of the relative abundances o...