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Test for normality

Source: R/ols-normality-tests.R
ols_test_normality.Rd

Test for detecting violation of normality assumption.

Usage

ols_test_normality(y, ...)

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

Arguments

y

A numeric vector or an object of class lm.

...

Other arguments.

Value

ols_test_normality returns an object of class "ols_test_normality". An object of class "ols_test_normality" 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_plot_resid_box(), ols_plot_resid_fit(), ols_plot_resid_hist(), ols_plot_resid_qq(), ols_test_correlation()

Examples

model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars)
ols_test_normality(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 
#> -----------------------------------------------