Tools CorrelationMap
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Correlation Map Tool
The Correlation Map is a tool that shows the degree of correlation among the variables after you have loaded x block data. You can show the degree of correlation before you preprocess the x block data or after you preprocess the x block data. In addition, you can show the correlation among the variables in one of three ways:
Option |
Description |
No variable reordering |
Variables are plotted in their original order. |
Correlation reordering |
Adjacent variables will have the highest degree of positive correlation when variables are regrouped by similarity. |
Absolute value reordering |
Adjacent variables will have the highest degree of positive correlation and/or negative correlation when variables are regrouped by similarity. |
To create a correlation map, on the Analysis window main menu, click Tools > Correlation Map, and then select the way in which you want to order the variables.
The figure below shows a correlation map with the variables in their original order after default preprocessing methods were carried out on a 200 x 30 DataSet for a simple PCA model. The color and intensity of the off-diagonal elements indicates the correlation among the variables. For example, in the figure below, variable 18 correlates well with variables 7, 8, an d 9 but it does not correlate well with variables 4 and 5.
- Example of a Correlation map
To zoom in on an area for viewing, click the Zoom in icon . and then drag your cursor around the region of interest. A box is formed around the area that being reduced for viewing. To zoom out on area for viewing, click the Zoom Out icon and then drag your cursor around the region of interest. A box is formed around the area that being enlarged for viewing. The figure below shows a region that was reduced for viewing. In this figure, the correlation of variable 18 with variables 7 and 8 is much easier to ascertain.
- Example of zooming in on a Correlation map