In senseiyukisan/732A94-Lab4: Calculates linear regression

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(lab4linreg)

Package Information

lab4linreg package contains linreg class. The aim of this package is to compute linear regression models.

Class

linreg class takes as inputs: a formula and a data.frame and returns an object of class linreg. On initialization the linreg object calculates regression coefficients, fitted values, residuals, degrees of freedom, residual variance, the variance of the regression coefficiients as well as the t-values for each of those coefficients.

Methods

several methods are implement to return the calculated elements:

print( )

the print() prints the object call and the calculated regression coefficients.

plot( )

the plot() plots the residuals with respect to the fitted values and plots the standardized residuals with respect to the fitted values.

resid( )

the resid() returns the vector containing the residual values.

pred( )

the pred() returns the prediction of the fitted values.

coef( )

the coef() returns the coefficients of the linear regression.

summary( )

the summary() prints a summary of the linear regression model containing the estimated coefficients, standard error, t-values, p-values and significance levels. It also prints the residual standard error as well as the degree of freedom.

Examples

create an object of class linreg

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

call print method

linreg_obj$print()

call plot method

linreg_obj$plot()

call resid method

linreg_obj$resid()

call pred method

linreg_obj$pred()

call coef method

linreg_obj$coef()

call summary method

linreg_obj$summary()

senseiyukisan/732A94-Lab4 documentation built on Oct. 5, 2020, 3:15 a.m.