FunctionalModel.cubic.from.four.points: Compute the parameter values of a Cubic Function from four...

In thomasWeise/regressoR.functional.models: An R Package Providing an Blueprints and Tools for Functional Models for Regression

Description

This function returns the four parameters of a cubic model from four point coordinates.

Usage

FunctionalModel.cubic.from.four.points(x1, y1, x2, y2, x3, y3, x4, y4)

Arguments

x1	the first x-coordinate
y1	the first y-coordinate
x2	the second x-coordinate
y2	the second y-coordinate
x3	the third x-coordinate
y3	the third y-coordinate
x4	the fourth x-coordinate
y4	the fourth y-coordinate

Value

a vector of type (a,b,c,d), such than f(x)=a+b*x+c*x^2+d*x^3 or NULL if no finite result is possible

thomasWeise/regressoR.functional.models documentation built on May 17, 2019, 8:45 p.m.