14 lines
1.0 KiB
Markdown
14 lines
1.0 KiB
Markdown
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# Feature Visualizations
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## 1. Heatmap Correlation Matrix
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Columns and rows are the behavioral features computed in RAPIDS, cells’ color represents the correlation coefficient between all days of data for every pair of features of all participants.
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The user can specify a minimum number of observations ([time segment](../../setup/configuration#time-segments) instances) required to compute the correlation between two features using the `MIN_ROWS_RATIO` parameter (0.5 by default) and the correlation method (Pearson, Spearman or Kendall) with the `CORR_METHOD` parameter. In addition, this plot can be configured to only display correlation coefficients above a threshold using the `CORR_THRESHOLD` parameter (0.1 by default).
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!!! example
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Click [here](../../img/hm-feature-correlations.html) to see an example of these interactive visualizations in HTML format
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<figure>
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<img src="../../img/hm-feature-correlations.png" max-width="100%" />
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<figcaption>Correlation matrix heatmap for all the features of all participants</figcaption>
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</figure>
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