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proFit FPU 4.1.2 Demo
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proFit II Demo (FPU)
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proFit II Demo (FPU).rsrc
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STR#_807.txt
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1993-08-13
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979b
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125 lines
regr
scale
smooth
smoothness (0-100%), scale (0=auto,1=lin,2=log), regression (0=lin,1=quadr)
A function following the tendency of the current data points.
Guideline
Not enough data for guideline.
(cubic spline)
A smooth function going through the current data points.
Spline
Bad x-value for the spline function.
Not enough data for spline interpolation.
n
x0
m
const
n: integer or real value
y = const + m*(x-x0)^n
Power
+ A'*exp(-K'*(x-x0')^^22)
y = const + A*exp(-K*(x-x0)^^22)
Gauss
x0'
K'
A'
x0
K
A
const
+ A'/(1+K'*(x-x0')^^22
y = const + A/(1+K*(x-x0)^^22)
Lorentz
base
const
x0
K
A
base: base of logarithm
y=A * log(K*(x-x0)) + const
Log
const
t0
x0
A
exponential
y = A * exp(-(x-x0)/t0) + const
Exp
const
x0
K
A
harmonic oscillation
y = A * sin(K*(x-x0)) + const
Sin
Polynom
deg: degree of polynom
const + a1*x +...+ a^0*x^^3
f(x) = const + a1*x + a2*x^^22
f(x) = const + a1*x
f(x) = const
const
deg