survey: trimWeights – R documentation

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trimWeights

Trim sampling weights

Description

Trims very high or very low sampling weights to reduce the influence of outlying observations. In a replicate-weight design object, the replicate weights are also trimmed. The total amount trimmed is divided among the observations that were not trimmed, so that the total weight remains the same.

Usage

trimWeights(design, upper = Inf, lower = -Inf, ...)
## S3 method for class 'survey.design2'
trimWeights(design, upper = Inf, lower = -Inf, strict=FALSE,...)
## S3 method for class 'svyrep.design'
trimWeights(design, upper = Inf, lower = -Inf,compress=FALSE,...)

Arguments

`design`	A survey design object
`upper`	Upper bound for weights
`lower`	Lower bound for weights
`strict`	The reapportionment of the ‘trimmings’ from the weights can push other weights over the limits. If `trim=TRUE` the function calls itself recursively to prevent this.
`compress`	Compress the replicate weights after trimming.
`...`	Other arguments for future expansion

Value

A new survey design object with trimmed weights.

Examples

data(api)
dclus1<-svydesign(id=~dnum, weights=~pw, data=apiclus1, fpc=~fpc)

pop.totals<-c(`(Intercept)`=6194, stypeH=755, stypeM=1018,
api99=3914069)
dclus1g<-calibrate(dclus1, ~stype+api99, pop.totals)

summary(weights(dclus1g))
dclus1t<-trimWeights(dclus1g,lower=20, upper=45)
summary(weights(dclus1t))
dclus1tt<-trimWeights(dclus1g, lower=20, upper=45,strict=TRUE)
summary(weights(dclus1tt))


svymean(~api99+api00+stype, dclus1g)
svymean(~api99+api00+stype, dclus1t)
svymean(~api99+api00+stype, dclus1tt)

survey

Analysis of Complex Survey Samples

v4.0

GPL-2 | GPL-3

Authors

Thomas Lumley

Initial release