sqlvar: Horvitz-Thompson estimator for multistage sampling
In sqlsurvey: analysis of very large complex survey samples (experimental)
Description
Usage
Arguments
Value
See Also
Description
Computes the estimated (linearisation) variance matrix for a population total estimate
under stratified multistage cluster sampling with or without
replacement. The variables must be in a separate table from the main
survey data table; they will typically be estimating functions. The
table must have the same key variable as the main data table, which will
be used for an inner join.
Usage
1
sqlvar(U, utable, design)
Arguments
U
Vector of strings for variable names
utable
String with name of data table for variables
design
sqlsurvey object
Value
A matrix
See Also
sqlsurvey documentation built on May 2, 2019, 4:53 p.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.
Description Usage Arguments Value See Also
Description
Computes the estimated (linearisation) variance matrix for a population total estimate under stratified multistage cluster sampling with or without replacement. The variables must be in a separate table from the main survey data table; they will typically be estimating functions. The table must have the same key variable as the main data table, which will be used for an inner join.
Usage
1 | sqlvar(U, utable, design)
|
Arguments
U |
Vector of strings for variable names |
utable |
String with name of data table for variables |
design |
|
Value
A matrix
See Also
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.