as.fpc

This function creates an object to store the number of clusters sampled
within each stratum (at each stage of multistage sampling) and the
number of clusters available in the population. It is called by
<code>svydesign</code>, not directly by the user.

manip

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

as.fpc function

<dl> <dt>df</dt>
<dd>A data frame or matrix with population size information</dd> <dt>strata</dt>
<dd>A data frame giving strata at each stage</dd> <dt>ids</dt>
<dd>A data frame giving cluster ids at each stage</dd> <dt>pps</dt>
<dd>if <code>TRUE</code>, fpc information may vary within a stratum
 and must be specified as a proportion rather than a population sizes</dd></dl>

Arguments

Package sample and population size data — as.fpc

<dl>

 <dt>df</dt>
<dd>A data frame or matrix with population size information</dd>

 <dt>strata</dt>
<dd>A data frame giving strata at each stage</dd>

 <dt>ids</dt>
<dd>A data frame giving cluster ids at each stage</dd>

 <dt>pps</dt>
<dd>if <code>TRUE</code>, fpc information may vary within a stratum
 and must be specified as a proportion rather than a population sizes</dd>

</dl>

as.fpc: Package sample and population size data

Description

Usage

Value

Arguments

Details

See Also