ch.getProbMax: This function calculates probMax for chMaxAveComb based on...

In ccpluncw/ccpl_R_chutils:

This function calculates probMax for chMaxAveComb based on the percent influence of the maximum valued item

Description

This function calculates probMax for chMaxAveComb based on the percent influence of the maximum valued item

Usage

ch.getProbMax(
  list.data,
  percentMaxInfluenceOverall = 0.6,
  percentMaxInfluenceOnAve = NULL
)

Arguments

list.data	A list with each element filled with numbers. Each vactor in the list is a set of values for an item
percentMaxInfluenceOverall	A probability that specifies the percent of influence that the column with the max(median()) has on the output vector over and above the average. When percentMaxInfluenceOverall = 0, then the max(median()) has no influence over and above the average. It's only influence is that it is part of the average. When percentMaxInfluenceOverall > 0, then max(median()) has some influence on the average, but also some more influence over and above the average. When percentMaxInfluenceOverall = 1, then max(median()) has all the influence. pDEFAULT = 0.6 (this is the percent found with the biased average grouping model;
percentMaxInfluenceOnAve	A probability that specifies the percent of influence that the column with the max(median()) has on the the average. When percentMaxInfluenceOnAve = 0, then the max(median()) has no influence the average. When percentMaxInfluence > 0, then max(median()) has some influence on the average. When percentMaxInfluence = 1, then max(median()) has all the influence. pDEFAULT = NULL (this will force the column with the max(median()) to have an equal influence on the ave as all other columns);

Value

a probability to be input into ch.maxAveComb for the probMax option

Examples

ch.maxAveComb (list.data, percentMaxInfluence = .6)

ccpluncw/ccpl_R_chutils documentation built on Feb. 28, 2024, 1:17 a.m.