print_adtest: Test Statistics — print

Function to show adtest.

Usage

print_adtest(x, digits = 4, quote = TRUE, prefix = "", ...)

Arguments

x: Needs to be an object of class adtest.
digits: Minimal number of significant digits.
quote: Logical, indicating whether or not strings should be printed with surrounding quotes. By default quote is set to TRUE.
prefix: Single character or character string that will be printed in front of x.
...: Further arguments passed to or from other methods.

Value

The function returns a summary of Anderson Darling Test

Examples

data <- rnorm(20, mean = 20)
pcr1<-pcr(data, "normal", lsl = 17, usl = 23, plot = FALSE)
#> Scale for x is already present.
#> Adding another scale for x, which will replace the existing scale.
#> 	Anderson Darling Test for normal distribution
#> 
#> data:  data 
#> A = 0.4264, mean = 20.111, sd = 1.210, p-value = 0.2841
#> alternative hypothesis: true distribution is not equal to normal 
print_adtest(pcr1$adTest)
#> 	Anderson Darling Test for normal distribution
#> 
#> data:  data 
#> A = 0.4264, mean = 20.111, sd = 1.210, p-value = 0.2841
#> alternative hypothesis: true distribution is not equal to normal