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Multi curve viewer

Multi curve viewer displays multiple in-cell curves on one chart, making it easy to compare fitted curves from different data series.

Overview​

The multi curve viewer is part of the Curves package and provides interactive visualization of dose-response curves and other fitted data. It allows you to overlay curves from multiple columns or rows, making it ideal for comparing experimental results, analyzing trends across conditions, or visualizing plate reader data.

Key features​

  • Multiple curve overlay: Display curves from selected rows (current, mouse-over, selected) and multiple columns simultaneously.
  • Trellis plot integration: Can be used as an inner viewer in trellis plots for multi-dimensional analysis.
  • Interactive controls: Supports logarithmic scales, axis configuration, and series merging.
  • Dynamic updates: Automatically responds to selection, filtering, and current row changes.

Creating a multi curve viewer​

  1. On the menu ribbon, click the Add viewer icon. A dialog opens.
  2. In the dialog, select MultiCurve Viewer.

Developers: To add the viewer from the console, use: grok.shell.tv.addViewer('MultiCurveViewer');

Configuring a multi curve viewer​

To configure a multi curve viewer, click the Gear icon on top of the viewer and use info panels on the Context Panel. You can:

  • Select the columns containing curve data using the Curves dropdown (columns must have curve semantic type).
  • Control the visibility of curves for selected, current, or hovered rows using the Show Selected Rows Curves Show Current Row Curve, and Show Mouse Over Row Curve checkboxes.
  • Enable merging of series from different columns or individual cells with the Merge Column Series and Merge Cell Series checkboxes.
  • Enable logarithmic scales for the X / Y axes using the log X / log Y checkboxes.

Multi curve viewer

In trellis plot​

The multi curve viewer is particularly useful as an inner viewer in trellis plot, allowing you to compare curves across different categories or conditions. This enables multi-dimensional analysis of dose-response data or other fitted curves.

See also​