design_effect: Kish design effect from unequal weighting
In weightflow: Declarative API for Staged Survey Weights
design_effect R Documentation
Kish design effect from unequal weighting
Description
deff = 1 + CV^2(w) = m * sum(w^2) / (sum(w))^2, over the active weights.
The effective sample size is n_eff = m / deff.
Usage
design_effect(w)
Arguments
w
vector of weights (zeros are dropped).
Value
list with deff, n_eff, cv and n.
Examples
design_effect(sample_survey$pw)
weightflow documentation built on July 23, 2026, 1:08 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| design_effect | R Documentation |
Kish design effect from unequal weighting
Description
deff = 1 + CV^2(w) = m * sum(w^2) / (sum(w))^2, over the active weights. The effective sample size is n_eff = m / deff.
Usage
design_effect(w)
Arguments
w |
vector of weights (zeros are dropped). |
Value
list with deff, n_eff, cv and n.
Examples
design_effect(sample_survey$pw)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.