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

bootDiffmeanFunc is a support function for bootstrapping method. Its main task is to infer mean-difference confidence intervals of distributions for all categories except the first category in idx (idx[2],idx[3],...) minus a target category (idx[1]).

1	bootDiffmeanFunc(Group, Values, idx, reps, ci, methodType)

`Group`	is a vector of categories of each real number in Values
`Values`	is a vector of real-number values
`idx`	is an order list of categories; idx[1] is a target category while others (idx[2],idx[3],...) are compared against idx[1] in order to compute mean-difference confidence intervals.
`reps`	is a number of time of sampling with replacement in a bootstrapping method.
`ci`	is a level of confidence interval inferred.
`methodType`	is a type of method for inferring confidence intervals. It is a parameter of two.boot function of simpleboot package.

This function returns a list of mean-difference confidence intervals of categories idx[2],idx[3],... minus category idx[1].

result a list of objects that contains mean-difference confidence intervals of pairs of distributions. It contains mean-difference confidence intervals of categories idx[2],idx[3],... minus category idx[1].

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