nDomain | R Documentation |
Compute a simple random sample size using either a target coefficient of variation, CV_{0}(d)
, or target variance, V_{0}(d)
, for an estimated mean or total for a domain.
nDomain(CV0d=NULL, V0d=NULL, S2d=NULL, ybarUd=NULL, N=Inf, CVpopd=NULL, Pd, est.type)
CV0d |
target value of coefficient of variation of estimated domain mean or total |
V0d |
target value of variance of estimated domain mean or total |
S2d |
unit (population) variance for domain units |
ybarUd |
population mean of target variable for domain units |
N |
number of units in full finite population (not just the domain population) |
CVpopd |
unit (population) coefficient of variation for domain units |
Pd |
proportion of units in the population that are in the domain |
est.type |
type of estimate; allowable values are |
If CV0d
is the desired target, then the unit CV, CVpopd
,
or the domain population mean and variance, ybarUd
and S2d
, must also be provided.
If V0d
is the constrained value, then ybarUd
must be also be included in the function call. CV0d
will then be computed as sqrt(V0d)/ybarUd
.
numeric sample size
Richard Valliant, Jill A. Dever, Frauke Kreuter
Valliant, R., Dever, J., Kreuter, F. (2018, sec. 3.5.2). Practical Tools for Designing and Weighting Survey Samples, 2nd edition. New York: Springer.
nCont
, nLogOdds
, nProp
, nPropMoe
, nWilson
nDomain(CV0d=0.05, N=Inf, CVpopd=1, Pd=0.5, est.type="total")
nDomain(CV0d=0.05, N=Inf, CVpopd=1, Pd=0.5, est.type="mean")
nDomain(V0d=50, ybarUd=50, S2d=100, N=Inf, Pd=0.5, est.type="total")
nDomain(CV0d=0.05, ybarUd=50, S2d=100, N=Inf, Pd=0.5, est.type="total")
nDomain(CV0d=0.05, ybarUd=50, S2d=100, N=Inf, Pd=0.5, est.type="mean")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.