Multivariate Analysis: Principal Component Analysis |
Plots Tab |
You can use the Plots tab to create plots that graphically display results of the analysis. (See Figure 26.4.)
Creating a plot often adds one or more variables to the data table. The following plots are available:
creates a plot that summarizes the eigenvalues of the correlation or covariance matrix.
adds cumulative proportions of eigenvalues to the proportion plot.
creates a matrix of scatter plots that shows scores for consecutive pairs of principal components.
creates a line plot that shows the correlations between principal components and the original variables.
creates a biplot. A biplot shows relationships between observations and variables in a single plot.
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.
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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