create_weighting_list: Describing weights for similarity relation between different...

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

Description

Function that collects weights for all different interaction scemes in a HLO-table. Each HLO-cell gets a "model assumption", which mapps the letter to an integer. Here weights for any combination of theese integers are assigned.

Usage

create_weighting_list(H_same = 1, H_H = 0, H_O = 0, H_L = 0, O_H = 0,
  O_O = 0, O_L = 0, L_H = 0, L_O = 0, L_L = 0, L_same = 0)

Arguments

H_same	weight, if both integers are equal and positive
H_H	weight, if both integers are positive, but different
H_O	weight, if if one integer is positive and one is 0
H_L	weight, if if one integer is positive and one is negative
O_H	weight, if if one integer is positive and one is 0
O_O	weight, if if both integers are 0
O_L	weight, if if one integer is negative and one is zero
L_H	weight, if if one integer is positive and one is negative
L_O	weight, if if one integer is negative and one is zero
L_L	weight, if both integers are negative, but different
L_same	weight, if both integers are equal and negative

Details

For reasons of symmetry, the parameters should hold H_O = O_H, H_L = L_H and L_O = O_L

Value

a list with the input parameters and class label "HLO_weighting", which can be used by function similarity_weights

Examples

# see function MDRDist_weights in file similarity_weights_common.R

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