CBV = Cerro Buena Vista, CV = Cerro Vueltas, CCH = Cerro Chirripó, IV = Irazú Volcano.</p
(a) Scatter plot of PC1 vs. PC2. Accessions are color-coded according to the groups identified by th...
Plots of factor scores of principal component analysis of three populations of Corydoras undulatus. ...
<p>Bi-plots of the first two principal components F1 and F2. a) PCA including bi-plots based on agro...
<p>A bi-dimensional plotting of the principal component analysis using the five acoustic variables (...
<p>Depicted are the Eigenvectors of the first and second principal components of 15 acoustic variabl...
Loading scores of the first two principal components from the T. browni songs’ acoustic traits.</p
<p>Loadings and variation explained in two Principal Components Analysis using five environmental va...
Note how a sequence of song elements is followed by an identical sequence. CBV = Cerro Buena Vista, ...
<p>A. Relative contributions of different acoustic parameters to PCA eigenvectors; the darkness of t...
<p>Principal components analysis showing the contribution of ten quantitative traits among the lenti...
PCA of Ladakhi and its neighboring populations are indicated in the figure legend. First and second ...
<p>Larger values on PC1 represent songs that are longer, that have more notes (that are shorter) and...
<p>Principal components analysis of measurements of song characters for Asian <i>Muscicapa</i> taxa....
<p>The first two principal components accounted for 77.4% of the variation. The four treatments (n =...
<p>Principal component analysis of collecting sites of teosinte using ecogeographic data (<i>Zea may...
(a) Scatter plot of PC1 vs. PC2. Accessions are color-coded according to the groups identified by th...
Plots of factor scores of principal component analysis of three populations of Corydoras undulatus. ...
<p>Bi-plots of the first two principal components F1 and F2. a) PCA including bi-plots based on agro...
<p>A bi-dimensional plotting of the principal component analysis using the five acoustic variables (...
<p>Depicted are the Eigenvectors of the first and second principal components of 15 acoustic variabl...
Loading scores of the first two principal components from the T. browni songs’ acoustic traits.</p
<p>Loadings and variation explained in two Principal Components Analysis using five environmental va...
Note how a sequence of song elements is followed by an identical sequence. CBV = Cerro Buena Vista, ...
<p>A. Relative contributions of different acoustic parameters to PCA eigenvectors; the darkness of t...
<p>Principal components analysis showing the contribution of ten quantitative traits among the lenti...
PCA of Ladakhi and its neighboring populations are indicated in the figure legend. First and second ...
<p>Larger values on PC1 represent songs that are longer, that have more notes (that are shorter) and...
<p>Principal components analysis of measurements of song characters for Asian <i>Muscicapa</i> taxa....
<p>The first two principal components accounted for 77.4% of the variation. The four treatments (n =...
<p>Principal component analysis of collecting sites of teosinte using ecogeographic data (<i>Zea may...
(a) Scatter plot of PC1 vs. PC2. Accessions are color-coded according to the groups identified by th...
Plots of factor scores of principal component analysis of three populations of Corydoras undulatus. ...
<p>Bi-plots of the first two principal components F1 and F2. a) PCA including bi-plots based on agro...
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