minimumOccurence: Select features based on minimum occurence across unique...

In environmentalinformatics-marburg/gpm: Geospatial predictive modeling using parameterized and unparameterized models.

Description

Select features (e.g. species) based on their minimum occurence across unique locations with multiple samples per location and return the feature names which occure at least on n locations on average within multiple resamples withour replacement.

Usage

## S4 method for signature 'GPM'
minimumOccurence(x, occurence = "yes", resample = 100,
  thv = 20)

## S4 method for signature 'data.frame'
minimumOccurence(x, selector, occurence = "yes",
  resample = 100, thv = 20)

Arguments

x	An object of class gpm or data.frame
occurence	Value indicating occurence (default "yes")
resample	Number of resamples used to estimate the occurence (default 100)
thv	Thresholdvalue which should be exceed in the occurence in order to include the respective variable in the result list.
selector	The column name of the selector variable which is used to compute the minimum occurence distribution

Details

The occurence is not counted but estimated based on samples which are drawn from the dataset with one sample per selector ID.

Value

Columnnames of the features occuring at least on n locations on average as part of the meta data section of the gpm object

Columnnames of the features occuring at least on n locations on average.

References

NONE

See Also

NONE

Examples

## Not run: 
#Not run

## End(Not run)

environmentalinformatics-marburg/gpm documentation built on July 11, 2020, 11:12 a.m.