| ci.pairs.prop.bs {statpsych} | R Documentation |
Bonferroni confidence intervals for all pairwise proportion differences in a between-subjects design
Description
Computes adjusted Wald confidence intervals for all pairwise differences of proportions in a between-subjects design with a Bonferroni adjusted alpha level.
Usage
ci.pairs.prop.bs(alpha, f, n)
Arguments
alpha |
alpha level for simultaneous 1-alpha confidence |
f |
vector of frequency counts of participants who have the attribute |
n |
vector of sample sizes |
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
z - z test statistic
p - p-value
LL - lower limit of the adjusted Wald confidence interval
UL - upper limit of the adjusted Wald confidence interval
References
Agresti A, Caffo B (2000). “Simple and effective confidence intervals for proportions and differences of proportions result from adding two successes and two failures.” The American Statistician, 54(4), 280. ISSN 00031305, doi:10.2307/2685779.
Examples
f <- c(111, 161, 132)
n <- c(200, 200, 200)
ci.pairs.prop.bs(.05, f, n)
# Should return:
# Estimate SE z p LL UL
# 1 2 -0.2475248 0.04482323 -5.522243 3.346989e-08 -0.35483065 -0.14021885
# 1 3 -0.1039604 0.04833562 -2.150803 3.149174e-02 -0.21967489 0.01175409
# 2 3 0.1435644 0.04358401 3.293968 9.878366e-04 0.03922511 0.24790360