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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