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.

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

Examples

f <- c(125, 82, 92)
ci.pairs.mult(.05, f)

# Should return:
#        Estimate         SE          LL         UL
# 1 2  0.14285714 0.04731825  0.05011508 0.23559920
# 1 3  0.10963455 0.04875715  0.01407230 0.20519680
# 2 3 -0.03322259 0.04403313 -0.11952594 0.05308076

statpsych documentation built on Sept. 11, 2024, 7:42 p.m.