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