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 across 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, ...)
x | A |
---|---|
... | Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
A tibble::tibble()
with columns:
Kendall score.
The two-sided p-value associated with the observed statistic.
Variance of the kendall_score.
Kendall's tau statistic
The denominator, which is tau=kendall_score/denominator.
if (requireNamespace("Kendall", quietly = TRUE)) { 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) s_res <- MannKendall(B) tidy(s_res) t_res <- SeasonalMannKendall(ts(A)) tidy(t_res) } #> # A tibble: 1 × 5 #> statistic p.value kendall_score denominator var_kendall_score #> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 0.924 0.000000935 116 126. 559.