Bland-Altman Plot

Creates a Bland-Altman plot (also known as Tukey mean-difference plot) used to analyze the agreement of two different measurement methods.

The plot shows the relationship between the mean of two measurements (x-axis) and the difference of the two measurements (y-axis). It can be used to assess whether the two methods agree sufficiently well over the range of measurements and to identify possible systematic deviations or outliers.

The bias (mean of the differences) and the limits of agreement (bias ± 1.96 standard deviations of the differences) are shown as horizontal lines. If the differences are approximately normally distributed, about 95% of the points are expected to lie within these limits.

For details, see: Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1(8476):307-310. https://doi.org/10.1016/S0140-6736(86)90837-8.

Options

Measurement 1 column

Column containing the values of the first measurement method.

Measurement 2 column

Column containing the values of the second measurement method.

Scale data with logarithm

First scale the values with a logarithm (base 2) to compensate for proportional bias (difference of two values is higher for higher mean values).

Enable panning

Enable panning on the plot. To start panning click and drag the mouse. Note: if panning and drag zooming are both enabled, panning can be achieved by holding the Ctrl key and dragging the mouse.

Enable mouse wheel zooming

Enable zooming on the plot using the mouse wheel.

Enable drag zooming

Enable zooming on the plot by dragging the mouse and drawing a zoom rectangle. Dragging from the top-left down will create a zoom rectangle, dragging from the bottom right up will reset the zoom to fit the extents of the plot. Note: if panning and drag zooming are both enabled, panning can be achieved by holding the Ctrl key and dragging the mouse.

Show zoom reset button

Renders a button to resize the plot to its extents.

Width of image (in px)

The width of the generated SVG image.

Height of image (in px)

The height of the generated SVG image.

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• kn_automl_h2o_regressionKNIME Hub
• kn_automl_h2o_regression_pythonKNIME Hub
• kn_automl_h2o_regression_pythonKNIME Hub
• kn_automl_h2o_regression_python_vtreatKNIME Hub
• kn_automl_h2o_regression_rKNIME Hub
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