Microarray Density Plot
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This menu can be used to plot the empirical cumulative probability density function (CDF) or probability density function (PDF) as estimated by a kernel smooth for a variate over a set of slides. The kernel density smoothing is performed using the method outlined by the KERNELDENSITY procedure.

Available Data

This lists data structures appropriate for the edit box which currently has focus. You can double-click a name to enter it in the edit box.

Data variate

The variate containing the data whose CDF or PDF is to be plotted.

Use Log (base 2) Transformation

When selected, the Data variate is transformed using log (base 2) before plotting. The calculation for the transformation using GenStat command language is:

CALC LogY = LOG(Y)/LOG(2)

Slides

The factor that identifies the slides. If this is left blank a single CDF/PDF plot will be produced for all of the data.

Action Buttons

RunGenerate the graphs.
CancelClose the menu without further changes.
OptionsOpens a dialog where additional options and settings can be specified for the graphs.
DefaultsSet the menu settings back to the default settings. Clicking the right mouse on this button produces a pop-up menu where you can choose to set the menu using the currently stored defaults or the GenStat default settings.

See Also