clusOpt2fixedPSU {PracTools} | R Documentation |
Optimal number of sample elements per PSU in a two-stage sample when the sample of PSUs is fixed
Description
Compute the optimum number of sample elements per primary sampling unit (PSU) for a fixed set of PSUs
Usage
clusOpt2fixedPSU(C1, C2, m, delta, unit.rv, k=1, CV0=NULL, tot.cost, cal.sw)
Arguments
C1 |
unit cost per PSU |
C2 |
unit cost per element |
m |
number of sample PSU's (fixed) |
delta |
homogeneity measure |
unit.rv |
unit relvariance |
k |
ratio of |
CV0 |
target CV |
tot.cost |
total budget for variable costs |
cal.sw |
specify type of optimum:
1 = find optimal |
Details
clusOpt2fixedPSU
will compute \bar{n}_{opt}
for a two-stage sample which uses simple
random sampling at each stage or ppswr at the first stage and srs at the second. The PSU sample is fixed.
Value
List with values:
C1 |
unit cost per PSU |
C2 |
unit cost per element |
m |
number of (fixed) sample PSUs |
delta |
homogeneity measure |
unit relvar |
unit relvariance |
k |
ratio of |
cost |
total budget for variable costs, |
n |
optimum number of sample elements per PSU |
CV |
computed CV if |
Author(s)
Richard Valliant, Jill A. Dever, Frauke Kreuter
References
Valliant, R., Dever, J., Kreuter, F. (2018, sect. 9.3.3). Practical Tools for Designing and Weighting Survey Samples, 2nd edition. New York: Springer.
See Also
clusOpt2
, clusOpt3
, clusOpt3fixedPSU
Examples
# optima for a vector of budgets
clusOpt2fixedPSU(C1=500, C2=100, m=100, delta=0.05, unit.rv=2, k=1, CV0=NULL,
tot.cost=c(100000, 500000, 10^6), cal.sw=1)
# optima for a target CV and vector of PSU costs
clusOpt2fixedPSU(C1=c(500,1000,5000), C2=100, m=100, delta=0.05, unit.rv=2, k=1,
CV0=0.05, tot.cost=NULL, cal.sw=2)