Difference between revisions of "FitLogistic Command"

Latest revision as of 12:41, 4 February 2019

FitLogistic( <List of Points> ): Calculates the regression curve in the form a/(1 + b e^(-kx)).; Example: FitLogistic({(-6, 2), (0, 2), (3, 4), (3.4, 8)}) yields \frac{1.98}{1 - 0.03 e^{1x}}.

Note:

The first and last data points should be fairly close to the curve. The list should have at least 3 points, preferably more.
See also Fit, FitExp, FitGrowth, FitLine, FitLineX, FitLog, FitPoly, FitPow and FitSin.
If you work with big/small numbers, you should consider normalizing them for a more accurate result, see Normalize Command.

@@ Line 1: / Line 1: @@
-<noinclude>{{Manual Page}}[[Category:Manual (official)|{{PAGENAME}}]]</noinclude>
+<noinclude>{{Manual Page|version=5.0}}</noinclude>{{command|statistics}}
-; FitLogistic[List of Points]: Calculates the regression curve in the form a/(1+b x^(-kx)).
+;FitLogistic( &lt;List of Points> )
-: Note: The first and last data point should be fairly close to the curve. The list should have at least 3 points, preferably more.
+:Calculates the regression curve in the form a/(1 + b e^(-kx)).
+:{{example|1=<code><nowiki>FitLogistic({(-6, 2), (0, 2), (3, 4), (3.4, 8)})</nowiki></code> yields <math> \frac{1.98}{1 - 0.03 e^{1x}}</math>.}}
+{{Note|1=<div>
+*The first and last data points should be fairly close to the curve. The list should have at least 3 points, preferably more.
+*See also [[Fit Command|Fit]], [[FitExp Command|FitExp]], [[FitGrowth Command|FitGrowth]], [[FitLine Command|FitLine]], [[FitLineX Command|FitLineX]], [[FitLog Command|FitLog]], [[FitPoly Command|FitPoly]], [[FitPow Command|FitPow]] and [[FitSin Command|FitSin]].
+* If you work with big/small numbers, you should consider normalizing them for a more accurate result, see  [[Normalize Command]].
+</div>}}