getMegDiffConfInv: getMegDiffConfInv function
In EDOIF: Empirical Distribution Ordering Inference Framework (EDOIF)

getMegDiffConfInv is a support function for bootstrapping method. Its main purpose is to compute a mean-difference confidence intervals between all pair of distributions.

1	getMegDiffConfInv(Values, Group, GroupList, bootT, alpha, methodType)

`Values`	is a vector of real-number values
`Group`	is a vector of categories of each real number in Values
`GroupList`	is a list of names of categories ascendingly ordered by their means.
`bootT`	is a number of times of sample with replacement for bootstrapping. The default is 1000. It must be above zero
`alpha`	is a significance level using in both confidence intervals and ordering inference it has the range [0,1]. The default is 0.05.
`methodType`	is an option for bootstrapping methods:either "perc" or "bca". The "perc" is the default option.

This function returns a list of mean-difference confidence intervals.

MegDiffList a list of objects that contains mean-difference confidence intervals of all possible pairs of distributions. It contains MegDiffList[[1]],...,MegDiffList[[length(GroupList)]].

The MegDiffList consists of the following variables

MegDiffList[[i]]

Mean-difference confidence intervals and related information of all categories that have higher means than sortedGroupList[i] category.

EDOIF documentation built on March 28, 2021, 9:11 a.m.