The
2D PCA Plots
tab contains the following elements:
|
•
|
A
scatterplot
matrix showing the Correlation Analysis of Principal Components
|
This 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
plot
|
This 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
|