rhg: Response homogeneity groups

In sampling: Survey Sampling

Response homogeneity groups

Description

Computes the response homogeneity groups and the response probability for each unit in these groups.

Usage

rhg(X,selection)

Arguments

X	sample data frame; it should contain the columns 'ID_unit' and 'status'; 'ID_unit' denotes the unit identifier (a number); 'status' is a 1/0 variable denoting the response/non-response of a unit.
selection	vector of variable names in X used to construct the groups.

Details

Into a response homogeneity group, the reponse probability is the same for all units. Data are missing at random within groups, conditionally on the selected sample.

Value

The initial sample data frame and also the following components:

rhgroup	the response homogeneity group for each unit.
prob_response	the response probability for each unit; for the units with status=0, this probability is 0.

References

Särndal, C.-E., Swensson, B. and Wretman, J. (1992). Model Assisted Survey Sampling. Springer

See Also

rhg_strata, calib

Examples

# defines the inclusion probabilities for the population
pik=c(0.2,0.7,0.8,0.5,0.4,0.4)
# X is the population data frame
X=cbind.data.frame(pik,c("A","B","A","A","C","B"))
names(X)=c("Prob","town")
# selects a sample using systematic sampling
s=UPsystematic(pik)
# Xs is the sample data frame
Xs=getdata(X,s)
# adds the status column to Xs (1 - sample respondent, 0 otherwise)
Xs=cbind.data.frame(Xs,status=c(1,0,1))
# creates the response homogeneity groups using the 'town' variable
rhg(Xs,selection="town")

sampling documentation built on Nov. 2, 2023, 6:26 p.m.