1. Things to know in advance
2. WHY
Linear and Nonlinear Regression in R
Graph for not significant trend.
Loess non-parametric degree 0
Loess non-parametric degree 1
Loess non-parametric degree 2
Quadratic inverse
Linear regression.
Quadratic
Cubic
Quartic
Quadratic inverse without intercept.
Linear without intercept.
Quadratic regression without intercept.
Cubic without intercept.
Quartic without intercept.
Cubic without beta2
Cubic inverse without beta2
Cubic without beta1
Cubic inverse without beta2
Cubic without beta1, with inverse beta3
Valcam
Three-parameter logistics.
Four-parameter logistics.
Five-parameter logistics.
Three-parameter log-logistics.
Four-parameter log-logistics.
Five-parameter log-logistics.
Brain-Cousens with four parameter.
Brain-Cousens with five parameter.
Cedergreen-Ritz-Streibig with four parameter.
Cedergreen-Ritz-Streibig with five parameter.
Weibull with three parameter.
Weibull with four parameter.
Gompertz with two parameter.
Gompertz with three parameter.
Gompertz with four parameter.
Von Bertalanffy
Lorentz with three parameter
Lorentz with four parameter
Beta
Analogous to the Gaussian model/Bragg with three parameters.
Analogous to the Gaussian model/Bragg with four parameters.
Linear-linear
Linear-plateau
Quadratic-plateau
Plateau-linear
Plateau-Quadratic
Logarithmic
Logarithmic quadratic
Thompson
Exponential
Exponential negative
Exponential without intercept.
Exponential negative without intercept.
Biexponential
Mitscherlich
Yield-loss
Hill
Michaelis-Menten with two parameter.
Michaelis-Menten with three parameter.
Steinhart-Hart
Page
Newton
Potential
Midilli
Modified Midilli
Avhad and Marchetti
Peleg
Vega-Galvez
to save your Time, to save your Life
Luke9:25 What good is it for a man to gain the whole world, and yet lose or forfeit his very self?
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