linreg: Linear regression model, creating a new class

In CharlesTGurra/lab4RT: A implementation of linear regression and a theme for LiU

Description

Uses QR decomposition to compute a linear regression model from the specified formula and included data. It returns the values calculated in a new S3 class called "linreg"

Usage

linreg(formula, data)

Arguments

formula	The formula for the linear regression model, in the class "formula"
data	A data set including the variables that the model contains

Value

Returns the class "linreg" and all the values in a list.

All the variables included in the list:

• argnames - The name of the data set and formula used

• coefficients - Coefficients of the variables used in the model

• fitted_values - Predicted values from the model

• residuals - Residuals of from the model

• df - Degrees of freedom of the model

• sigma_sq - Variance

• variance_coef - Variance of the coefficients

• t_values - t-values for each coefficient

• p_values - P-values for each coefficient

Examples

data("iris")
linreg(formula = Petal.Length ~ Species, data = iris)

CharlesTGurra/lab4RT documentation built on Sept. 25, 2020, 8:49 a.m.