Output | Expression | 2D PCA Plots (Correlation and Principal Components)

The 2D PCA Plots tab contains the following elements:

• A scatterplot matrix showing the Correlation Analysis of Principal ComponentsThis display shows computed Pearson correlations of the principal components, which are usually near zero as long as mean-centering has been performed.The Scatterplot Matrix plots all pairs of components and individual histograms. These plots can reveal interrelationships among components and how they align with known experimental factors.See Scatterplot Matrix for more information.

• A parallel plot of the first three principal components.See Parallel Plot for more information.

• A Mahalanobis Distances plotThis plot illustrates the distance of specific observations from the mean center of the other observations. In this example, none of the observations show significant Mahalanobis distances.See Mahalanobis Distances for more information about these plots.

• A Create Subset Experimental Design Data Set drill down option