Multivariate Analysis: Principal Component Analysis |
The Plots Tab
You can use the Plots tab (Figure 26.4)
to create plots that graphically display
results of the analysis.
Creating a plot often adds one or more variables to the data table.
The following plots are available:
- Proportion plot of eigenvalues (scree plot)
-
creates a plot that summarizes the
eigenvalues
of the correlation or covariance matrix.
- Show cumulative proportions
-
adds cumulative proportions of eigenvalues to the proportion plot.
- Matrix of component score plots
-
creates a matrix of scatter plots showing scores for consecutive pairs of
principal components.
- Correlation pattern plot
-
creates a line plot that shows the correlations between principal
components and the original variables.
- Biplot
-
creates a biplot. A biplot shows relationships between observations and
variables in a single plot.
- Scale factors
-
specifies how to scale and factor the SVD of the data matrix.
The scaling determines the values for the biplot.
The methods are described in the section "Biplots".
- Extend variable vectors
-
specifies whether to extend the vectors to the edge of the
biplot. This is useful for visualizing the direction of short vectors.
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