diaglm: test whether linear model assumptions have been violated

In bblpo/diaglm: Do multiple diagnoses for linear model output. Plot and save the diagnoses. It also tests the best possible transformation of variables to counter violations.

Description

test for unusual data, nonlinearity, non-normality, non-constant error variance, auto-correlation

Usage

diaglm(x, file = "result.txt")

Arguments

x	an object, which is a result from a linear model (lm)
file	is the name of text file you want to create (e.g.,'mydiagnosis.txt'). It is iniated as 'result.txt' Note that the file will be saved at the working directory

Value

The statistical tests results, outlierTest, durbinWatsonTest, VIF, and gvlma

Examples

data(data)
mod<-lm(data$tolerance_scale~data$sg_participation+data$virtual_si+as.numeric(data$EDUC)+as.numeric(data$yrbrn)+data$IVRACE2+data$IVRACE3+data$gndr+as.numeric(data$lrscale))
diaglm(mod)

bblpo/diaglm documentation built on May 26, 2019, 11:58 p.m.