ci.SG: The simultaneous confidence interval for multinomial...

In RajeswaranV/vcdPlus: Summary and inference of categorical data and contingency tables

Description

The simultaneous confidence interval for multinomial proportions based on the method proposed in Sison and Glaz (1995)

Usage

ci.SG(inpmat, alpha)

Arguments

inpmat	- The input matrix
alpha	- Alpha value (significance level required)

Value

A list of dataframes

SG.Volume	SG Volume
SG.Orig.LowLim	Dataframe of SG Original Lower Limits
SG.Orig.UpLim	Dataframe of SG Original Upper Limits
SG.Adj.LowLim	Dataframe of SG Adjusted Lower Limits
SG.Adj.UpLim	Dataframe of SG Adjusted Upper Limits

Author(s)

Subbiah and Balakrishna S Kesavan

See Also

Other Confidence Interval for Multinomial Proportion: ci.BMDU, ci.FS, ci.GM, ci.QH, ci.WS, ci.WaldCC, ci.Wald

Examples

x = c(56,72,73,59,62,87,68,99,98)
inpmat = cbind(x[1:3],x[4:6],x[7:9])
alpha=0.05
ci.SG(inpmat,alpha)

RajeswaranV/vcdPlus documentation built on May 27, 2019, 7:28 a.m.