In PatricksRaspberryPi/linreg: Package for lab 4

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

The linreg-package implements the functionality of a linear regression.

To fit a linear model, a new linreg-object has to be created, with the dataset and a respective formula for the model as inputs. An example could look like this:

# load the package
library(linearregressionlab)

# create new linreg object
data(iris)
mod_object <- linreg(Petal.Length~Species, data = iris) 

mod_object

In the following code examples, the major methods for the linear regression can be found:

# show coefficients
mod_object$coef()

# show residuals
mod_object$resid()[1:10]

# show predictions
mod_object$pred()[1:10]

# get summary of the regression
mod_object$summary()

# plot overview of regression
mod_object$plot()

PatricksRaspberryPi/linreg documentation built on Dec. 18, 2021, 6:42 a.m.