In TysonStanley/rlm: Regressional Analysis and Linear Models

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

`educ7610`

The goal of educ7610 is to make several aspects of the Regression course (EDUC/PSY 7610) at Utah State University more accessible. Specifically, it provides the data from Darlington and Hayes' book "Regression Analysis and Linear Models", a syntax to perform diagnostics and Johnson-Neyman, odds ratios from logistic regression, among other things. In conjunction with packages like interactions and the easystats group of packages, this package can make regression analyses more straightforward.

Installation

You can install the development version from GitHub with:

# install.packages("remotes")
remotes::install_github("tysonstanley/educ7610")

Example

This is a basic example which shows you how to solve a common problem:

library(educ7610)
data("poverty")  ## load the poverty data set

model <- lm(TeenBirth ~ ViolentCrime + poverty_pct,
           data = poverty)
diagnostics(model) %>% head()