NRadjClass | R Documentation |
Compute separate nonresponse adjustments in a set of classes.
NRadjClass(ID, NRclass, resp, preds=NULL, wts=NULL, type)
ID |
identification value for a unit |
NRclass |
vector of classes to use for nonresponse adjustment. Length is number of respondents plus nonrespondents |
resp |
indicator for whether unit is a nonrespondent (must be coded 0) or respondent (must be coded 1) |
preds |
response probabilities, typically estimated from a binary regression model as in |
wts |
vector of survey weights, typically base weights or base weights adjusted for unknown eligibility |
type |
type of adjustment computed within each value of |
The input vectors should include both respondents and nonrespondents in a sample. A single value between 0 and 1 is computed in each nonresponse adjustment class to be used as a nonresponse adjustment. Five alternatives are available for computing the adjustment based on the value of type
. The value of the adjustment is merged with individual unit data and stored in the RR
field of the output data frame.
A data frame of respondents only with four columns:
NRcl.no |
number of the nonresponse adjustment class for each unit |
ID |
identification value for a unit |
resp |
value of the |
RR |
nonresponse adjustment for each unit |
Richard Valliant, Jill A. Dever, Frauke Kreuter
Valliant, R., Dever, J., Kreuter, F. (2018, chap. 13). Practical Tools for Designing and Weighting Survey Samples, 2nd edition. New York: Springer.
pclass
require(PracTools)
data(nhis)
out <- pclass(formula = resp ~ age + as.factor(sex) + as.factor(hisp) + as.factor(race),
data = nhis, type = "unwtd", link="logit", numcl=5)
# unweighted average of response propensities within each class
zz <- NRadjClass(ID=nhis[,"ID"], NRclass = as.numeric(out$p.class), resp=nhis[,"resp"],
preds=out$propensities, wts=NULL, type=1)
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