normality: Normality test of a numeric vector

In spatialRF: Easy Spatial Modeling with Random Forest

Normality test of a numeric vector

Description

Applies a Shapiro-Wilks test to a numeric vector, and returns a list with the statistic W, its p-value, and a character string with the interpretation.

Usage

residuals_test(residuals)

Arguments

residuals

Numeric vector, model residuals.

Value

A list with four slots:

/item w W statistic returned by shapiro.test(). /item p.value p-value of the Shapiro test. /item interpretation Character vector, one of "x is normal", "x is not normal". /item plot A patchwork plot with the qq plot and the histogram of x.

See Also

Other spatial_analysis: filter_spatial_predictors(), mem(), mem_multithreshold(), moran(), moran_multithreshold(), pca(), pca_multithreshold(), rank_spatial_predictors(), residuals_diagnostics(), select_spatial_predictors_recursive(), select_spatial_predictors_sequential()

Examples

residuals_test(residuals = runif(100))

spatialRF documentation built on Dec. 20, 2025, 1:07 a.m.