ci.prop1 {statpsych} | R Documentation |
Computes adjusted Wald and Wilson confidence intervals for a single population proportion. The Wilson confidence interval uses a continuity correction.
ci.prop1(alpha, f, n)
alpha |
alpha level for 1-alpha confidence |
f |
number of participants who have the attribute |
n |
sample size |
Returns a 2-row matrix. The columns of row 1 are:
Estimate - adjusted estimate of proportion
SE - adjusted standard error
LL - lower limit of the adjusted Wald confidence interval
UL - upper limit of the adjusted Wald confidence interval
The columns of row 2 are:
Estimate - ML estimate of proportion
SE - standard error
LL - lower limit of the Wilson confidence interval
UL - upper limit of the Wilson confidence interval
Agresti A, Coull BA (1998). “Approximate is better than 'exact' for interval estimation of binomial proportions.” The American Statistician, 52(2), 119–126. ISSN 0003-1305, doi: 10.1080/00031305.1998.10480550.
ci.prop1(.05, 12, 100) # Should return: # Estimate SE LL UL # Adjusted Wald 0.1346154 0.03346842 0.06901848 0.2002123 # Wilson with cc 0.1200000 0.03249615 0.06625153 0.2039772