I have sampled some data from a sampling frame using the probability proportional to size (PPS) plan such that I have sampled 6
strata on combination of two variables: gender
and pre
with proportions:
pre
gender High Low Medium
F 0.155 0.155 0.195
M 0.155 0.155 0.185
Now I want to specify the design of my sampled data using svydesign
from R package "survey". I was wondering how to define the fpc
(finite population correction) argument?
The documentation says:
For PPS sampling without replacement it is necessary to specify the probabilities for each stage of sampling using the
fpc
argument, and an overall weight argument should not be given.
library(survey)
out <- read.csv('https://raw.githubusercontent.com/rnorouzian/d/master/out.csv')
dstrat <- svydesign(id=~1,strata=~gender+pre, data=out, pps = "brewer", fpc = ????)
Aucun commentaire:
Enregistrer un commentaire