<p>Total variance explained 77.5%. Rotation Method: Varimax with Kaiser Normalization. Values in bold indicate |factor loadings| >0.50.</p
<p>A. PCoA was based on the correlation matrix of allele frequencies at 12 loci. The first and secon...
Com o objetivo de avaliar o desempenho do método dos componentes principais utilizando a análise de ...
A study was conducted to determine the interdependence among the conformation traits of 28"Pallaresa...
<p>Total variance explained 88.2%. Rotation Method: Varimax with Kaiser Normalization. Values in bol...
<p>After varimax raw rotation, highly significant loading factors of the variables on the PCA axes a...
<p>Variables with correlation coefficients higher than 0.50 are highlighted in bold.</p
a<p>Sample size (N) is not constant, because some variables could only be computed for a subset of t...
<p>Cumulatively, PC axes explain 78.7% (climate), 79.6% (soil and terrain), 56.6% (climate, soil and...
<p>Principal component analysis (Varimax normalized rotation) on a set of bioclimatic variables reta...
Plots of factor scores of principal component analysis of three populations of Corydoras undulatus. ...
<p>Loadings on PC1 (the first axis explaining 52% of the total variations) of the principal componen...
<p>Green triangles refer to soil samples of undisturbed sites whereas orange dots are samples of env...
Eigenvalues and proportion of total variance explained by each axis derived from a principal compone...
<p>The figure represents the projection of the 48 arrays on the first three Principal Components. Th...
<p>Different symbols represent biogeographic regions based on the anuran fauna generated through <i>...
<p>A. PCoA was based on the correlation matrix of allele frequencies at 12 loci. The first and secon...
Com o objetivo de avaliar o desempenho do método dos componentes principais utilizando a análise de ...
A study was conducted to determine the interdependence among the conformation traits of 28"Pallaresa...
<p>Total variance explained 88.2%. Rotation Method: Varimax with Kaiser Normalization. Values in bol...
<p>After varimax raw rotation, highly significant loading factors of the variables on the PCA axes a...
<p>Variables with correlation coefficients higher than 0.50 are highlighted in bold.</p
a<p>Sample size (N) is not constant, because some variables could only be computed for a subset of t...
<p>Cumulatively, PC axes explain 78.7% (climate), 79.6% (soil and terrain), 56.6% (climate, soil and...
<p>Principal component analysis (Varimax normalized rotation) on a set of bioclimatic variables reta...
Plots of factor scores of principal component analysis of three populations of Corydoras undulatus. ...
<p>Loadings on PC1 (the first axis explaining 52% of the total variations) of the principal componen...
<p>Green triangles refer to soil samples of undisturbed sites whereas orange dots are samples of env...
Eigenvalues and proportion of total variance explained by each axis derived from a principal compone...
<p>The figure represents the projection of the 48 arrays on the first three Principal Components. Th...
<p>Different symbols represent biogeographic regions based on the anuran fauna generated through <i>...
<p>A. PCoA was based on the correlation matrix of allele frequencies at 12 loci. The first and secon...
Com o objetivo de avaliar o desempenho do método dos componentes principais utilizando a análise de ...
A study was conducted to determine the interdependence among the conformation traits of 28"Pallaresa...
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