Tidy a(n) Kendall object
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 class '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 |
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. |
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) }
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.