In Xiaolin-Jiang/lab4: lab4

Overview

lab4 is a package to handle linear regression models. It can handle functions such as print(), plot(), resid(), pred(), coef() and summary().

Import

    library(lab4)

Methods

The example below is to introduce how these functions work linreg() takes two parameter, Form : formula; data : a data.frame

linreg_mod <- linreg$new(Form = Petal.Length~Species, data=iris)

The print() prints out the vector containing coefficients.

linreg_mod$print()

The plot() plots such pictures(package ggplot2 is needed here)

linreg_mod$plot()

The resid() returns the vector of residuals.

head(linreg_mod$resid())

The pred() returns the predicted values.

head(linreg_mod$pred())

The coef() returns the coefficients as a named vector.

linreg_mod$coef()

The summary() returns a similar printout as printed for lm objects, but you only need to present the coefficients with their standard error, t-value and p-value as well as the estimate of ˆσ and the degrees of freedom in the model.

linreg_mod$summary()

Xiaolin-Jiang/lab4 documentation built on Dec. 18, 2021, 7:22 p.m.