SpearmanTest {coin} | R Documentation |
Testing the independence of two numeric variables.
## S3 method for class 'formula': spearman_test(formula, data, subset = NULL, weights = NULL, ...) ## S3 method for class 'IndependenceProblem': spearman_test(object, distribution = c("asymptotic", "approximate"), ...)
formula |
a formula of the form y ~ x | block where y
and x are numeric variables and block is an
optional factor for stratification. |
data |
an optional data frame containing the variables in the model formula. |
subset |
an optional vector specifying a subset of observations to be used. |
weights |
an optional formula of the form ~ w defining
integer valued weights for the observations. |
object |
an object of class IndependenceProblem . |
distribution |
a character, the null distribution of the test statistic
can be approximated by its
asymptotic distribution (asymptotic )
or via Monte-Carlo resampling (approximate ).
Alternatively, the functions
approximate or asymptotic can be
used to specify how the exact conditional distribution of the test statistic
should be approximated. |
... |
further arguments to be passed to or from methods. |
The null hypothesis of the independence of y
and x
is tested.
An object inheriting from class IndependenceTest-class
with
methods show
, statistic
, expectation
,
covariance
and pvalue
. The null distribution
can be inspected by pperm
, dperm
,
qperm
and support
methods.
spearman_test(CONT ~ INTG, data = USJudgeRatings)