bootDiffmeanFunc {EDOIF}

bootDiffmeanFunc function

Description

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]).

Usage

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

Arguments

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.

Value

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].