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, ...)
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:
Kendall's tau statistic.
two-sided p-value.
Kendall score.
The denominator, which is tau=kendall_score/denominator.
Variance of the kendall_score.
tidy()
, Kendall::Kendall()
, Kendall::MannKendall()
,
Kendall::SeasonalMannKendall()
library(Kendall)#> Error in library(Kendall): there is no package called ‘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)#> Error in Kendall(A, B): could not find function "Kendall"tidy(f_res)#> Error in tidy(f_res): object 'f_res' not founds_res <- MannKendall(B)#> Error in MannKendall(B): could not find function "MannKendall"tidy(s_res)#> Error in tidy(s_res): object 's_res' not found#> Error in SeasonalMannKendall(ts(A)): could not find function "SeasonalMannKendall"tidy(t_res)#> Error in tidy(t_res): object 't_res' not found