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

## Description

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

## Usage

 ```1 2 3 4 5 6``` ```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

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32``` ```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 March 18, 2018, 1:15 p.m.