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guiplotresid()

Usage:
guiplotresid() does residual plots via dialogs



Keywords:
guiplotresid brings up a dialog box to collect information that
will be used to construct a plotresids command for plotting
residuals.  The dialog is a "tabbed" dialog, meaning that the
information is collected on multiple panels that the user accesses
via tabs.

The "Basic" tab allows you to determine which plots you want,
which kind of residuals to use, and what plotting character to use.
On the left, you may select one or more of the plot types: residuals
versus fitted values, or residuals versus normal scores, or
residuals versus case numbers.  On the right, you may choose which
type of residuals: raw residuals, scaled residuals, standardized
residuals, or studentized residuals.  You may also choose the size
and style of the plotting character.

Scaled residuals are raw residuals divided by the root MSE.
Standardized residuals are residuals divided by an estimate of their
standard error (ie, this takes the HII values into account). 
Studentized residuals are outlier-t residuals.  In all cases,
scaling involves the final error term of the model.  

The "Appearance" tab collects information that affects the overall
appearance of the plot.  First, you can choose that the plot appear
in a new window (default), or you can choose the number of the
graph window where you would like it to appear. A window number of
0 indicates the most recently used graph window. Next, you can set
the width and height of the plot.  On the screen, these are in
units of pixels.  When printing using PostScript, these are in
units of points (approximately 1/72 of an inch).  

The second major set of choices are for labels.  You can add a title
and/or labels for the vertical and horizontal axes.

Finally, you can set where the border box and axis ticks will be
drawn.  By default, ticks and borders are drawn on all four sides.

The "Axes" tab allows you to control the appearance of the axes.
First, you can choose to have a logarithmic scale by clicking the
check box.  Next, you may specify your own minimum and maximum values
in each direction. Third, you may decide whether the x=0 or y=0 lines
are drawn on the plot.  Finally, you may set the appearance of the
ticks and labels.  Tick locations should be either a variable name
or an expression that evaluates to a vector of real values.  If
this is NULL, no ticks will be drawn.  Tick labels should be character
vectors with the same number of elements as the tick locations.
Finally, tick lengths should be real scalars >= -1.  Values less than
0 are outside the frame; values greater than zero are inside the
frame.  Values greater than 2 draw a grid all the way across the
plot.  The default value is -.5.

If you know the MacAnova commands, you may type in your options
directly on the "Direct Options" tab.


Gary Oehlert 2005-08-12