Test for detecting violation of normality assumption.

ols_norm_test(y, ...)

# S3 method for lm
ols_norm_test(y, ...)

Arguments

y

A numeric vector or an object of class lm.

...

Other arguments.

Value

norm_test returns an object of class "norm_test". An object of class "norm_test" is a list containing the following components:

kolmogorv

kolmogorv smirnov statistic

shapiro

shapiro wilk statistic

cramer

cramer von mises statistic

anderson

anderson darling statistic

See also

Other residual diagnostics: ols_corr_test, ols_rsd_boxplot, ols_rsd_hist, ols_rsd_qqplot, ols_rvsp_plot

Examples

model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars) ols_norm_test(model)
#> ----------------------------------------------- #> Test Statistic pvalue #> ----------------------------------------------- #> Shapiro-Wilk 0.9366 0.0600 #> Kolmogorov-Smirnov 0.1152 0.7464 #> Cramer-von Mises 2.8122 0.0000 #> Anderson-Darling 0.5859 0.1188 #> -----------------------------------------------