In wjhlang/myLM: Implementing a Linear Regression Model.

knitr::opts_chunk$set(
  collapse = TRUE,
  out.width = "100%"
)
options(tibble.print_min = 5, tibble.print_max = 5)

myLM

Implementing Linear Regression Model

Overview

myLM is a package implementing the original lm function, generating the same output with some optimization. This package aims to output the exact same output as the original lm() function with minimal optimization.

Installation

devtools::install_github("wjhlang/myLM")
library(myLM)

Usage

library(myLM)
data("iris")

# Output call and coefficients
myLM(Petal.Length~Petal.Width*Sepal.Width,data = iris)

# Output call and coefficients for weighted least squares
myLM(Petal.Length~Petal.Width*Sepal.Width, data = iris, weight = runif(nrow(iris)))

# Output the summary
lmod = myLM(Petal.Length~Petal.Width*Sepal.Width,data = iris)
summary(lmod)

# Output diagnostic plots
par(mfrow=c(2,2))
par(mar=c(2,2,2,2))
plot(myLM(Petal.Length~Petal.Width*Sepal.Width,data = iris))