A list with eights data objects:
dataAn object as data.table
, with variables:
id
- variable with unit ID codes,
Dom
- optional variables used to define population domains,
H
- the unit stratum variable,
Y
- variable of interest,
Rh
- the expected response rate in each stratum,
deffh
- the expected design effect,
indicator
- variable for full surveys,
sup_w
- variable for weight limit in domain of stratum,
sup_cv
- Variable for maximum coeficient of variation,
poph
- population size,
nh
- sample size .
nh_larger_then_NhAn object as data.table
, with variables:
H
- the stratum variable,
nh
- sample size,
poph
- population size.
dom_strata_sizeAn object as data.table
, with variables:
H
- the unit stratum variable,
Dom
- optional variables used to define population domains,
sup_w
- variable for weight limit in domain of stratum,
poph
- population size,
nh
- sample size,
sample100
- sample size for fully surveyed units,
design_weights
- design weigts.
dom_sizeAn object as data.table
, with variables:
Dom
- optional variables used to define population domains,
poph
- population size,
nh
- sample size,
sample100
- sample size for fully surveyed units,
design_weights
- design weigts.
sizeAn object as data.table
, with variables:
poph
- population size,
nh
- sample size,
sample100
- sample size for fully surveyed units.
dom_strata_expected_precisionAn object as data.table
, with variables:
H
- stratum,
variable
- the name of variable of interest,
estim
- total value,
deffh
- the expected design effect,
s2h
- population variance \(S^2\),
nh
- sample size,
Rh
- the expected response rate,
deffh
- the expected design effect,
poph
- population size,
nrh
- expected number of respondents,
var
- expected variance,
se
- expected standard error,
cv
- expected coeficient of variance.
dom_expected_precisionAn object as data.table
, with variables:
Dom
- domain,
variable
- the name of variable of interest,
poph
- the population size,
nh
- sample size,
nrh
- expected number of respondents,
estim
- total value,
var
- the expected variance,
se
- the expected standart error,
cv
- the expected coeficient of variance.
total_expected_precisionAn object as data.table
, with variables:
variable
- the name of variable of interest,
poph
- the population size,
nh
- sample size,
nrh
- expected number of respondents,
estim
- total value,
var
- the expected variance,
se
- the expected standart error,
cv
- the expected coeficient of variance.