expectation-methods {coin} | R Documentation |
Methods for extraction of the expectation, variance and covariance of the linear statistic.
## S4 method for signature 'IndependenceLinearStatistic' expectation(object, ...) ## S4 method for signature 'IndependenceTest' expectation(object, ...) ## S4 method for signature 'Variance' variance(object, ...) ## S4 method for signature 'CovarianceMatrix' variance(object, ...) ## S4 method for signature 'IndependenceLinearStatistic' variance(object, ...) ## S4 method for signature 'IndependenceTest' variance(object, ...) ## S4 method for signature 'CovarianceMatrix' covariance(object, ...) ## S4 method for signature 'IndependenceLinearStatistic' covariance(object, ...) ## S4 method for signature 'IndependenceTest' covariance(object, ...)
object |
an object from which the expectation, variance or covariance of the linear statistic can be extracted. |
... |
further arguments (currently ignored). |
The methods expectation
, variance
and covariance
extract
the expectation, variance and covariance, respectively, of the linear
statistic.
The expectation, variance or covariance of the linear statistic extracted from
object
. A numeric vector or matrix.
## Example data dta <- data.frame( y = gl(3, 2), x = sample(gl(3, 2)) ) ## Asymptotic Cochran-Mantel-Haenszel Test ct <- cmh_test(y ~ x, data = dta) ## The linear statistic, i.e., the contingency table... (l <- statistic(ct, type = "linear")) ## ...and its expectation... (El <- expectation(ct)) ## ...and covariance (Vl <- covariance(ct)) ## The standardized contingency table... (l - El) / sqrt(variance(ct)) ## ...is identical to the standardized linear statistic statistic(ct, type = "standardized")