View source: R/kendall-tidiers.R
tidy.Kendall | 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 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. |
tidy()
, Kendall::Kendall()
, Kendall::MannKendall()
,
Kendall::SeasonalMannKendall()
# load libraries for models and data 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) # fit models and summarize results f_res <- Kendall(A, B) tidy(f_res) s_res <- MannKendall(B) tidy(s_res) t_res <- SeasonalMannKendall(ts(A)) tidy(t_res)
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