svyciprop_adjusted: Korn and Graubard confidence intervals for proportions,...

In surveytable: Streamlining Complex Survey Estimation and Reliability Assessment in R

Korn and Graubard confidence intervals for proportions, adjusted for degrees of freedom

Description

A version of survey::svyciprop( method = "beta" ) that adjusts for the degrees of freedom.

Usage

svyciprop_adjusted(formula, design, level = 0.95, adj = "none", ...)

Arguments

formula	see survey::svyciprop().
design	see survey::svyciprop().
level	see survey::svyciprop().
adj	adjustment to the Korn and Graubard confidence intervals: "none" (default), "NCHS", or "NHIS".
...	see survey::svyciprop().

Details

adj specifies the adjustment to the Korn and Graubard confidence intervals.

• "none": No adjustment is performed. Produces standard Korn and Graubard confidence intervals, same as survey::svyciprop( method = "beta" ).

• "NCHS": Adjustment that might be required by some (though not all) NCHS data systems. With this adjustment, the degrees of freedom is set to degf(design). Consult the documentation for the data system that you are analyzing to determine if this is the appropriate adjustment.

• "NHIS": Adjustment that might be required by NHIS. With this adjustment, the degrees of freedom is set to nrow(design) - 1. Consult the documentation for the data system that you are analyzing to determine if this is the appropriate adjustment.

To use these adjustments in surveytable tabulations, call set_survey() or set_opts() with the appropriate mode or adj argument.

Originally written by Makram Talih in 2019.

Value

The point estimate of the proportion, with the confidence interval as an attribute.

Examples

set_survey(namcs2019sv)
set_opts(adj = "NCHS")
tab("AGER")
set_opts(adj = "none")

surveytable documentation built on Aug. 26, 2025, 1:07 a.m.