Running this process for the
DrosophilaAgingExample
sample setting generates the tabbed
Results
window shown below. Refer to the
Principal Components Analysis
process description for more information. Output from the process is organized into tabs. Each tab contains one or more plots, data panels, data filters, and so on, that facilitate your analysis.
The
Results
window contains the following panes:
This pane provides you with a space to view individual tabs within the
Results
window. Use the tabs to access and view the output plots and associated data sets.
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PCA 2D Row Scores
: Two-dimensional plots of the rowwise components.
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PCA 3D Row Scores
: Three-dimensional plots of the rowwise components
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PCA 2D Column Scores
: Two-dimensional plots of the columnwise components
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PCA 3D Column Scores
: Three-dimensional plots of the columnwise components
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SAS Output
: This is a text-based output directly from SAS PROC PLS and provides detailed statistics on the
principal components
analysis. This is accomplished by specifying the same
variables
as both the
dependent variables
. (
y
) and Model Effects (
x
). The output contains summary details of the algorithm as well as breakdown of the percent variation accounted for by each component. Refer to the documentation for SAS
PROC PLS
for more information.
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Click
to reveal the underlying data table associated with the current tab.
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Click
to reopen the completed process dialog used to generate this output.
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Click
to generate a
pdf
- or
rtf
-formatted report containing the plots and charts of selected tabs.
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Click
to close all graphics windows and underlying data sets associated with the output.
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