svykappa

Computes the unweighted kappa measure of agreement between two raters
 and the standard error. The measurements must both be factor variables
 in the survey design object.

survey

Summary statistics, two-sample tests, rank tests, generalised linear models, cumulative link models, Cox models, loglinear models, and general maximum pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights. Post-stratification, calibration, and raking. Two-phase subsampling designs. Graphics. PPS sampling without replacement. Small-area estimation.

Thomas Lumley

Analysis of Complex Survey Samples

svykappa function

<dl> <dt>formula</dt>
<dd>one-sided formula giving two measurements</dd> <dt>design</dt>
<dd>survey design object</dd> <dt>...</dt>
<dd>passed to <code>svymean</code> internally
 (such as <code>return.replicates</code> or <code>influence</code>)</dd></dl>

Arguments

Cohen's kappa for agreement — svykappa

<dl>

 <dt>formula</dt>
<dd>one-sided formula giving two measurements</dd>

 <dt>design</dt>
<dd>survey design object</dd>

 <dt>...</dt>
<dd>passed to <code>svymean</code> internally
 (such as <code>return.replicates</code> or <code>influence</code>)</dd>

</dl>

svykappa: Cohen's kappa for agreement

Description

Usage

Value

Arguments

See Also

Examples