# nonresponse: Experimental: Construct non-response weights In survey: Analysis of Complex Survey Samples

 nonresponse R Documentation

## Experimental: Construct non-response weights

### Description

Functions to simplify the construction of non-reponse weights by combining strata with small numbers or large weights.

### Usage

``````nonresponse(sample.weights, sample.counts, population)
sparseCells(object, count=0,totalweight=Inf, nrweight=1.5)
neighbours(index,object)
joinCells(object,a,...)
## S3 method for class 'nonresponse'
weights(object,...)
``````

### Arguments

 `sample.weights` table of sampling weight by stratifying variables `sample.counts` table of sample counts by stratifying variables `population` table of population size by stratifying variables `object` object of class `"nonresponse"` `count` Cells with fewer sampled units than this are "sparse" `nrweight` Cells with higher non-response weight than this are "sparse" `totalweight` Cells with average sampling weight times non-response weight higher than this are "sparse" `index` Number of a cell whose neighbours are to be found `a`, `...` Cells to join

### Details

When a stratified survey is conducted with imperfect response it is desirable to rescale the sampling weights to reflect the nonresponse. If some strata have small sample size, high non-response, or already had high sampling weights it may be desirable to get less variable non-response weights by averaging non-response across strata. Suitable strata to collapse may be similar on the stratifying variables and/or on the level of non-response.

`nonresponse()` combines stratified tables of population size, sample size, and sample weight into an object. `sparseCells` identifies cells that may need combining. `neighbours` describes the cells adjacent to a specified cell, and `joinCells` collapses the specified cells. When the collapsing is complete, use `weights()` to extract the nonresponse weights.

### Value

`nonresponse` and `joinCells` return objects of class `"nonresponse"`, `neighbours` and `sparseCells` return objects of class `"nonresponseSubset"`

### Examples

``````data(api)
## pretend the sampling was stratified on three variables
poptable<-xtabs(~sch.wide+comp.imp+stype,data=apipop)
sample.count<-xtabs(~sch.wide+comp.imp+stype,data=apiclus1)
sample.weight<-xtabs(pw~sch.wide+comp.imp+stype, data=apiclus1)

## create a nonresponse object
nr<-nonresponse(sample.weight,sample.count, poptable)

## sparse cells
sparseCells(nr)

## Look at neighbours
neighbours(3,nr)
neighbours(11,nr)

## Collapse some contiguous cells
nr1<-joinCells(nr,3,5,7)

## sparse cells now
sparseCells(nr1)
nr2<-joinCells(nr1,3,11,8)

nr2

## one relatively sparse cell
sparseCells(nr2)
## but nothing suitable to join it to
neighbours(3,nr2)

## extract the weights
weights(nr2)
``````

survey documentation built on July 16, 2024, 3 a.m.