wtdvar: Compute weighted variance
In PracTools: Tools for Designing and Weighting Survey Samples
wtdvar R Documentation
Compute weighted variance
Description
Compute an estimate of a population unit variance from a complex sample with survey weights.
Usage
wtdvar(x,w,na.rm=TRUE)
Arguments
x
data vector
w
vector of survey weights; must be same length as x
na.rm
remove missing values (TRUE or FALSE)
Details
wtdvar is also used by BW3stagePPSe in estimating relvariance components.
Value
numeric estimate of population unit variance
Author(s)
Richard Valliant, Jill A. Dever, Frauke Kreuter
References
Valliant, R., Dever, J., Kreuter, F. (2018, chap. 9). Practical Tools for Designing and Weighting Survey Samples, 2nd edition. Springer.
Examples
x <- c(1:3)
wts <- c(4, 6, 8)
wtdvar(x=x, w=wts)
PracTools documentation built on Nov. 9, 2023, 9:06 a.m.
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| wtdvar | R Documentation |
Compute weighted variance
Description
Compute an estimate of a population unit variance from a complex sample with survey weights.
Usage
wtdvar(x,w,na.rm=TRUE)
Arguments
x |
data vector |
w |
vector of survey weights; must be same length as |
na.rm |
remove missing values (TRUE or FALSE) |
Details
wtdvar is also used by BW3stagePPSe in estimating relvariance components.
Value
numeric estimate of population unit variance
Author(s)
Richard Valliant, Jill A. Dever, Frauke Kreuter
References
Valliant, R., Dever, J., Kreuter, F. (2018, chap. 9). Practical Tools for Designing and Weighting Survey Samples, 2nd edition. Springer.
Examples
x <- c(1:3)
wts <- c(4, 6, 8)
wtdvar(x=x, w=wts)
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.
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