ci.pairs.mult: Confidence intervals for pairwise proportion differences of a...

In statpsych: Statistical Methods for Psychologists

Confidence intervals for pairwise proportion differences of a multinomial variable

Description

Computes adjusted Wald confidence intervals for pairwise proportion differences of a multinomial variable in a single sample. These adjusted Wald confidence intervals use the same method that is used to compare the two proportions in a paired-samples design.

For more details, see Section 1.12 of Bonett (2021, Volume 3)

Usage

ci.pairs.mult(alpha, f)

Arguments

alpha	alpha level for 1-alpha confidence
f	vector of multinomial frequency counts

Value

Returns a matrix with the number of rows equal to the number of pairwise comparisons. The columns are:

• Estimate - adjusted estimate of proportion difference

• SE - adjusted standard error

• LL - lower limit of the adjusted Wald confidence interval

• UL - upper limit of the adjusted Wald confidence interval

References

\insertRef

Bonett2012statpsych

\insertRef

Bonett2021statpsych

Examples

f <- c(87, 49, 31, 133)
ci.pairs.mult(.05, f)

# Should return:
#         Estimate         SE           LL          UL
#  1 2  0.12582781 0.03821865  0.050920628  0.20073500
#  1 3  0.18543046 0.03466808  0.117482270  0.25337866
#  1 4 -0.15231788 0.04855183 -0.247477718 -0.05715804
#  2 3  0.05960265 0.02978792  0.001219398  0.11798590
#  2 4 -0.27814570 0.04196760 -0.360400688 -0.19589070
#  3 4 -0.33774834 0.03797851 -0.412184859 -0.26331183

statpsych documentation built on Jan. 13, 2026, 1:07 a.m.