Perform Spearman rank correlation test

Computes Spearman's rho between absolute residuals and fitted values.

Usage

performSpearmanTest(model)

Details

The squared rank correlation coefficient times the sample size minus 1 approximates a chi-square distribution with one degree of freedom.

Arguments

model

an object of class lm.

Value

An object of class htest containing the test statistic, p-value, degrees of freedom and rho.

References

Spearman, C. (1904). The proof and measurement of association between two things. American Journal of Psychology, 15(1), 72–101.

Examples

 data(mtcars)
 m <- lm(mpg ~ wt + qsec, data = mtcars)
 performSpearmanTest(m)
#> [INFO] Running Spearman rank correlation test
#> 
#> 	Spearman rank correlation test for heteroscedasticity
#> 
#> data:  mpg ~ wt + qsec
#> t = 1.4452, = 30, p-value = 0.1588
#> sample estimates:
#>      rho 
#> 0.255132 
#>