knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The R-Package was developed for the statistical consulting of the University of Göttingen to assist students in checking common assumptions of linear regression quickly and easily. It also provides students with an automated recommendation for the further procedure if an assumption is not fulfilled.
You can install the released version of olsdiagnosticR from git with:
install.packages("devtools") library(devtools) install_github("Kale-S/olsdiagnosticR") library(olsdiagnosticR)
This is a basic example which shows you how to solve a common problem:
library(olsdiagnosticR) library(carData) Data <- mtcars model <- lm(mpg ~. , data = Data) olsdiagnostic(model)
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