In amemem/lab4package: Linear Regression

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

library(lab4package)

Description

This linear regression package contains a reference class which computes the coefficients, residuals, predicted values, standard errors for both the coefficients and the residuals, t-values and p-values, and the degrees of freedom of a model matrix based on a provided formula and data set.

Reference Class

The reference class is called "linreg". It can be created by supplying a formula and a data set like so:

data("iris")
linreg_mod = linreg$new(Petal.Length~Sepal.Width+Sepal.Length, iris)

After the class has been created, several functions can be called.

Functions

coef()

The coef() function returns a named vector of coefficients.

data("iris")
linreg_mod <- linreg$new(Petal.Length~Sepal.Width+Sepal.Length, iris)
linreg_mod$coef()

pred()

The pred() function returns the predicted values.

data("iris")
linreg_mod = linreg$new(Petal.Length~Sepal.Width+Sepal.Length, iris)
linreg_mod$pred()

resid()

The resid() function returns the predicted values.

data("iris")
linreg_mod = linreg$new(Petal.Length~Sepal.Width+Sepal.Length, iris)
linreg_mod$resid()

print()

The print() function shows how the function was called and also prints the coefficients.

data("iris")
linreg_mod = linreg$new(Petal.Length~Sepal.Width+Sepal.Length, iris)
linreg_mod$print()

summary()

The summary() function shows a detailed overview of all the relevant variables.

data("iris")
linreg_mod = linreg$new(Petal.Length~Sepal.Width+Sepal.Length, iris)
linreg_mod$summary()

plot()

The plot() function displays two graphs; the first graph shows the relationship between the residuals and the fitted values, and the second graph shows the scale-location.

data("iris")
linreg_mod = linreg$new(Petal.Length~Species, iris)
linreg_mod$plot()

amemem/lab4package documentation built on Dec. 19, 2021, 1:39 a.m.