compdist_estimated_uncorellated: compdist_estimated_uncorellated
In imbs-hl/MDRDist: This Package calculates something like a distance

Description Usage Arguments Details Value

a function that generates artificial data, that are distributed like the uncorellated empirical distribution of the original data

1	compdist_estimated_uncorellated(data, n)

`data`	a data.frame with data, that should be emulated
`n`	the number of emulated observations

The comparison functions are needed to apply algorithms from supervized learning. There are many possible functions approximating comparison distributions. Some are implemented here.

Each function has the signature function(data, n), where - data is a data.frame with only integer columns and - n is the number of generated observations.

The functions return data.frames - with n observations and - all columns of data plus one column "status" with status = 0 for all observations. - and rownames starting with "SYNTHETIC"

a data.frame like the input (but with generated observations) and an additional column status=0

imbs-hl/MDRDist documentation built on May 18, 2019, 4:45 a.m.