| ci.lc.prop.bs {statpsych} | R Documentation |
Confidence interval for a linear contrast of proportions in a between- subjects design
Description
Computes an adjusted Wald confidence interval for a linear contrast of population proportions in a between-subjects design.
Usage
ci.lc.prop.bs(alpha, f, n, v)
Arguments
alpha |
alpha level for 1-alpha confidence |
f |
vector of frequency counts of participants who have the attribute |
n |
vector of sample sizes |
v |
vector of between-subjects contrast coefficients |
Value
Returns a 1-row matrix. The columns are:
Estimate - adjusted estimate of proportion linear contrast
SE - adjusted standard error
z - z test statistic
p - two-sided p-value
LL - lower limit of the adjusted Wald confidence interval
UL - upper limit of the adjusted Wald confidence interval
References
Price RM, Bonett DG (2004). “An improved confidence interval for a linear function of binomial proportions.” Computational Statistics & Data Analysis, 45(3), 449–456. ISSN 01679473, doi:10.1016/S0167-9473(03)00007-0.
Examples
f <- c(26, 24, 38)
n <- c(60, 60, 60)
v <- c(-.5, -.5, 1)
ci.lc.prop.bs(.05, f, n, v)
# Should return:
# Estimate SE z p LL UL
# 0.2119565 0.07602892 2.787841 0.005306059 0.06294259 0.3609705