In mariatreesa/Lab4R: Linear Regression Modelling

library(Rlab4)
library(ggplot2)

Introduction

This package was developed as part of a LAB assignment at Linkoping Universtiy. The package fits a Linear Regression Model using Ordinary Least Squares and QR decompostion method. So far, only former gives t-values and p-values while the latter gives estimates of beta and residuals and variances of the beta estimates. The functions: - linreg: Linear Regression function by OLS - linreg_QR: Linear Regression function by QR decomposition.

Implementation Examples:

data(faithful)

model_obj <- linreg(eruptions ~ waiting, data= faithful)

summary(model_obj)

mariatreesa/Lab4R documentation built on July 11, 2020, 7:26 a.m.