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aregress
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aregress.doc
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1993-12-22
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ARegress V2.0 (c) 1993 Sven Bühling - Documentation
1. Intro
--------
ARegress is a program for statistical evaluation of measurements. As the name
of the program indicates, you can use it to estimate different kinds of
regression, and to print graphs of the regressions.
This version provides provides bi-variate regression only.
The program runs on an Amiga with Kickstart >= 2.0.
Thanks to Harold for correcting this doc file.
2. Parameters / Tooltypes
-------------------------
The program understands the following Parameters (for CLI) and Tooltypes
(for WB):
INTERLACE TRUE oder FALSE (Interlace-Screen)
WIDTH Size of the screen
HEIGHT Height of the screen
Examples: Tooltypes for Interlace screen:
INTERLACE=TRUE
WIDTH=640
HEIGHT=512
For CLI:
ARegress INTERLACE TRUE WIDTH 640 HEIGHT 512
Default is PAL-Hires. If you have a FliFi or an NTSC-Amiga you should
modify the values.
3. Project-Menu
---------------
Load - not supported yet
Save - - " -
New - deletes all data
Info - try it...
Quit - ...
4. Input-Menu
-------------
In this version, you enter pairs of values. First the X-axis values, then
the Y-axis values.
Append - enables Append mode
Delete - deletes one pair
Plot - plots diagram
Ok - ...
5. Graphics-Menu
----------------
Parameters - opens a window to modify the graphics parameters
Plot - plots two points on the regression line
Print - opens printer window
5.1. Graphics parameters
"""""""""""""""""""""""
X min., max. - Limits of X-axis
Y min., max. - Limits of Y-axis
X Steps, Y Steps - Interval steps (0 to 5)
Grade - Intervals marked on each axis (0 to 5)
Precision - number of digits after decimal point
DoubleX - all vertical lines are drawn in double size
Headline - ...
X-Pos, Y-Pos - Position of the graph title
Raster X, Y: Optional Grid
5.2. Print
""""""""""
EditCMap - to edit the colours while printing
(Don't forget to select Color in GraphicGFX-Preferences if you have a
colour printer.)
6. Statistic-Menu
-----------------
There are five different kinds of regression available in this version.
Another special feature is Lagrange-Interpolation which connects all measures
(if they have different X-values).