tidy.Kendall {broom} | R Documentation |
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 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 one row and columns:
statistic |
Kendall's tau statistic. |
p.value |
two-sided p-value. |
kendall_score |
Kendall score. |
denominator |
The denominator, which is tau=kendall_score/denominator. |
var_kendall_score |
Variance of the kendall_score. |
tidy()
, Kendall::Kendall()
, Kendall::MannKendall()
,
Kendall::SeasonalMannKendall()
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)