Regression - Diagnostic - Test Residual Normality (Shapiro-Wilk)
Conduct a Shapiro-Wilk test of normality on the (deviance) residuals
Conducts the Shapiro-Wilk test of normality on the (deviance) residuals of a Regression output.
An example output appears below.
A small p-value indicates a departure from normality. For large samples, a departure from normality will almost always be detected.
The test is performed on the deviance residuals in a model, which are automatically extracted from a model using resid. For more information on the use of residuals in regression modeling, see this blog post.
Uses the R function shapiro.test in the stats package.
Shapiro, S. S.; Wilk, M. B. (1965). "An analysis of variance test for normality (complete samples)". Biometrika. 52 (3–4): 591–611. DOI: 10.1093/biomet/52.3-4.591.
Royston, P. (1982). An extension of Shapiro and Wilk's W test for normality to large samples. Applied Statistics. 31: 115-124. DOI: 10.2307/2347973.
includeWeb("QScript R Output Functions"); const menu_location = "Regression > Diagnostic > " + "Test Residual Normality (Shapiro-Wilk)"; createDiagnosticROutputFromSelection(menu_location);