<p>AM-PM—Samples taken from 5 females and 5 males, one morning sample and one afternoon sample from each is used (Plot created with R package ggbiplot).</p
<p>Principal component analysis (PCA) scores plot from low, intermediate and high MEE groups.</p
Principal component analysis (PCA) was performed using the prcomp function from the R base package. ...
<p>Means±SE. Filled circles, first PC; open circles, second PC. The principal component analyses wer...
<p>Day-to-Day—Samples taken from 5 females and 5 males on 4 mornings over a 1 month period, day 1, d...
<p>A scatter plot depicting principle component 1 (PC1) and PC2 coordinates of study samples, color-...
<p>The plot is based on between groups (trials) analysis using the ade4 R phylogenetic package. Mont...
<p>(A) shows the distribution of traits for individual genotypes and (B) shows the distribution of i...
<p>Principal component analysis (PCA) plot showing the grouping of the almond accessions.</p
(A)—Variable factor map on the 52 tested groups with quantitative variables:—body mass (BM) and age ...
<p>The scores plot generated from principal component analysis (PCA) of all the analytes (A) and the...
<p>Principal components were calculated using parental data from the Human Genome Diversity Project ...
Principal component analysis plots of (A) reference population groups and (B) all UKB ethnicity grou...
<p>The first four principal components (PCs) of a PCA for summary statistics calculated for 10,000 s...
<p>A) Plot based on logarithm-converted values for the 25 samples. B) Plot based on the 19 samples f...
<p>80,116 SNPs dispersed genome-wide were used. X-axis is principle component 1 and y-axis is princi...
<p>Principal component analysis (PCA) scores plot from low, intermediate and high MEE groups.</p
Principal component analysis (PCA) was performed using the prcomp function from the R base package. ...
<p>Means±SE. Filled circles, first PC; open circles, second PC. The principal component analyses wer...
<p>Day-to-Day—Samples taken from 5 females and 5 males on 4 mornings over a 1 month period, day 1, d...
<p>A scatter plot depicting principle component 1 (PC1) and PC2 coordinates of study samples, color-...
<p>The plot is based on between groups (trials) analysis using the ade4 R phylogenetic package. Mont...
<p>(A) shows the distribution of traits for individual genotypes and (B) shows the distribution of i...
<p>Principal component analysis (PCA) plot showing the grouping of the almond accessions.</p
(A)—Variable factor map on the 52 tested groups with quantitative variables:—body mass (BM) and age ...
<p>The scores plot generated from principal component analysis (PCA) of all the analytes (A) and the...
<p>Principal components were calculated using parental data from the Human Genome Diversity Project ...
Principal component analysis plots of (A) reference population groups and (B) all UKB ethnicity grou...
<p>The first four principal components (PCs) of a PCA for summary statistics calculated for 10,000 s...
<p>A) Plot based on logarithm-converted values for the 25 samples. B) Plot based on the 19 samples f...
<p>80,116 SNPs dispersed genome-wide were used. X-axis is principle component 1 and y-axis is princi...
<p>Principal component analysis (PCA) scores plot from low, intermediate and high MEE groups.</p
Principal component analysis (PCA) was performed using the prcomp function from the R base package. ...
<p>Means±SE. Filled circles, first PC; open circles, second PC. The principal component analyses wer...
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