Description Objects from the Class Slots Methods References See Also Examples

The `CoverageObj`

class is used for the storage of coverage tests results.

Objects can be created by calls of the
form `new("CoverageObj", ...)`

or, more commonly, via the
`coverage`

function.

`NumPerms`

:The number of permutations used if a permutation test was performed.

`DistExp`

:The exponent used in calculation of distances.

`NumGrps`

:The number of groups in the input data.

`GpSizes`

:A vector of length

`NumGrps`

specifying group sizes.`inputData`

:A

`data.frame`

used for the analysis. The first column is the group (if supplied) and the second is the variable for which the analysis was performed.`ObsDelta`

:The observed coverage statistic.

`VarDelta`

:The variance of the coverage statistic estimated using resampling.

`ExpectDelta`

:The expected value of the coverage statistic.

`DeltaSkew`

:The standard deviation of the variance of the coverage statistic.

`Z_value`

:The observed standardized coverage statistic.

`Skt`

:The skewness of observed coverage statistic.

`P_value`

:The Pearson Type III probability of a larger or equal coverage statistic.

`PZ`

:The resampled probability of a larger or equal coverage statistic.

`NumObs`

:The total number of observations used in the analysis.

`PermVals`

:If

`save.test=TRUE`

was specified this vector will hold resampled test statistic values.`exact`

:A logical value indicating whether an exact test was performed.

`group.names`

:The names of the groups used in the analysis.

`Call`

:The original function call.

`signature(x = "CoverageObj")`

: Prints a terse summary of the Coverage test.- pvalue
`signature(x = "CoverageObj")`

: Extracts the Pearson type III p-value. See`pvalue`

.- ResampVals
`signature(x = "CoverageObj")`

: Extracts the Monte Carlo resampled test statistic values. See`ResampVals`

.- show
`signature(object = "CoverageObj")`

: Same as print. See`print`

.- summary
`signature(object = "CoverageObj")`

: Prints a detailed summary of the Coverage test.

Mielke, P.W., and Y.C. Yao. 1988. A class of multiple sample tests based on empirical coverages.
*Annals of the Institute of Statistical Mathematics* **40**, 165–178.

Mielke, P.W. and Y.C. Yao. 1990. On g-sample empirical coverage tests:
Exact and simulated null distributions of test statistics with small
and moderate sample sizes. *Journal Statistical Computation and
Simulation* **35**, 31–39.

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