Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies cross models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.

# S3 method for Kendall
tidy(x, ...)

Arguments

x

A Kendall object returned from a call to Kendall::Kendall(), Kendall::MannKendall(), or Kendall::SeasonalMannKendall().

...

Additional arguments. Not used. Needed to match generic signature only. Cautionary note: Misspelled arguments will be absorbed in ..., where they will be ignored. If the misspelled argument has a default value, the default value will be used. For example, if you pass conf.lvel = 0.9, all computation will proceed using conf.level = 0.95. Additionally, if you pass newdata = my_tibble to an augment() method that does not accept a newdata argument, it will use the default value for the data argument.

See also

Value

A tibble::tibble() with columns:

kendall_score

Kendall score.

p.value

The two-sided p-value associated with the observed statistic.

var_kendall_score

Variance of the kendall_score.

statistic

Kendall's tau statistic

denominator

The denominator, which is tau=kendall_score/denominator.

Examples

library(Kendall) A <- c(2.5,2.5,2.5,2.5,5,6.5,6.5,10,10,10,10,10,14,14,14,16,17) B <- c(1,1,1,1,2,1,1,2,1,1,1,1,1,1,2,2,2) f_res <- Kendall(A, B) tidy(f_res)
#> # A tibble: 1 x 5 #> statistic p.value kendall_score denominator var_kendall_score #> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 0.408 0.0754 34 83.4 345.
s_res <- MannKendall(B) tidy(s_res)
#> # A tibble: 1 x 5 #> statistic p.value kendall_score denominator var_kendall_score #> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 0.354 0.102 32 90.3 360
t_res <- SeasonalMannKendall(ts(A)) tidy(t_res)
#> # A tibble: 1 x 5 #> statistic p.value kendall_score denominator var_kendall_score #> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 0.924 0.000000935 116 126. 559.