<p>The red colour variables are the most explanatory of the horizontal axis (PC1); those in blue are the most explanatory variables of vertical axes (PC2, PC3 and PC4), thus defining the gradients.</p
<p>Bi-plots of the first two principal components F1 and F2. a) PCA including bi-plots based on agro...
<p>a) Scree plot showing the proportion of variance explained by each PC. b) PCA based on the leadin...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>The red coloured variables are the most explanatory of the horizontal axis (PC1); those in blue a...
(a) Scatter plot of PC1 vs. PC2. Accessions are color-coded according to the groups identified by th...
<p>The 4 types were: complex diversified multistrata (CDM), low diversity with regular trees (LDR), ...
<p>Principal component no. 1 (x-axis) vs. principal component no. 2 (y-axis), color annotated by thr...
<p>(A) Histogram of eigenvalues, (B) Principal Component Analysis (PCA) plot of factor loadings in t...
(A) PCA fails to clearly distinguish grapevine morphotypes. (B) A Mapper graph using PC1 as a lens r...
A to C show the results of the PCA based on the 2D plane corresponding to the first 2 axes. D to F s...
<p>The first principal component was plotted on the x-axis and the second principal component was pl...
<p>Black vectors represent seven variables of vegetation types (burned, rock, bare ground, short gra...
<p>The lines belong to the germplasm bank of the United States Department of Agriculture (USDA). The...
Principal component 1 (PC1) in horizontal axis and PC2 in vertical axis explain 37% and 15% of varia...
<p>The figure represents the projection of the 48 arrays on the first three Principal Components. Th...
<p>Bi-plots of the first two principal components F1 and F2. a) PCA including bi-plots based on agro...
<p>a) Scree plot showing the proportion of variance explained by each PC. b) PCA based on the leadin...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>The red coloured variables are the most explanatory of the horizontal axis (PC1); those in blue a...
(a) Scatter plot of PC1 vs. PC2. Accessions are color-coded according to the groups identified by th...
<p>The 4 types were: complex diversified multistrata (CDM), low diversity with regular trees (LDR), ...
<p>Principal component no. 1 (x-axis) vs. principal component no. 2 (y-axis), color annotated by thr...
<p>(A) Histogram of eigenvalues, (B) Principal Component Analysis (PCA) plot of factor loadings in t...
(A) PCA fails to clearly distinguish grapevine morphotypes. (B) A Mapper graph using PC1 as a lens r...
A to C show the results of the PCA based on the 2D plane corresponding to the first 2 axes. D to F s...
<p>The first principal component was plotted on the x-axis and the second principal component was pl...
<p>Black vectors represent seven variables of vegetation types (burned, rock, bare ground, short gra...
<p>The lines belong to the germplasm bank of the United States Department of Agriculture (USDA). The...
Principal component 1 (PC1) in horizontal axis and PC2 in vertical axis explain 37% and 15% of varia...
<p>The figure represents the projection of the 48 arrays on the first three Principal Components. Th...
<p>Bi-plots of the first two principal components F1 and F2. a) PCA including bi-plots based on agro...
<p>a) Scree plot showing the proportion of variance explained by each PC. b) PCA based on the leadin...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...