benchmark.patchwork.copula: Benchmark function for a new type of non-functional...
In knnIndep: Independence tests and benchmarks

Description Usage Arguments Value Author(s) See Also Examples

This function is used to benchmark test for independence on a new type of non-function dependence called patchwork copula

1	benchmark.patchwork.copula(fun, args, cvals, n = 320, nsim = 500, bins = 20)

`fun`	function or character naming a function. A function should have two vectors of coordinates as first two arguments
`args`	list of additional arguments to the functions `fun`. If a function does not need any arguments use an empty list.
`cvals`	target mutual information values vector of concentration factors, these represent mutual information values (see `generate.patchwork.copula`)
`n`	numeric, size of the data sets to generate (default 320 points)
`nsim`	numeric, how many replicate simulations to run under the null model and H1, default 500
`bins`	decimal, number of bins of the bins*bins grid, (see `generate.patchwork.copula`)

This function returns a list data structure that can be further processed with the functions of this package, calculate.power,generate.roc

Sebastian Dümcke duemcke@mpipz.mpg.de

calculate.power,generate.roc

mycor = function(...) cor(...)^2
copula.vals = benchmark.patchwork.copula(mycor,list(),c(.3,1,10))
drop(calculate.power(copula.vals,.95))
roc.plot(generate.roc(copula.vals))