regr_easy_calc: Calculation of Regression Models: Linear, Quadratic and...

In regr.easy: Easy Linear, Quadratic and Cubic Regression Models

Calculation of Regression Models: Linear, Quadratic and Cubic.

Description

Performs regression calculations: linear, quadratic and cubic, allowing to perform only one or both, returning a detailed result of the calculation

Usage

regr_easy_calc(x, y, model = "all")

Arguments

x	Values that should be used as an independent variable for the regression calculation.
y	Values that should be used as a dependent variable for the regression calculation.
model	Character, defined which model will be calculated. model = "L", calculate the linear, model = "Q" calculate the quadratic, model = "C" calculate the cubic, model = "all" = calculate both).

Value

returns a list with the regression result (linear, quadratic and/or cube)

Examples

library(regr.easy)
x <- seq(0,300,50)
y <- c(138.6,153.6,164.525,164.925,158.725,159.975,154.425)
regr_easy_calc(x,y,model = "all")

regr.easy documentation built on Oct. 31, 2022, 5:07 p.m.