deff_calc: Calculate the design effect of a sample
In jdjohn215/pollster: Calculate Crosstab and Topline Tables of Weighted Survey Data
View source: R/DesignEffectAndMOE.R
deff_calc R Documentation
Calculate the design effect of a sample
Description
deff_calc returns a single number
Usage
deff_calc(w)
Arguments
w
a vector of weights
Details
This function returns the design effect of a given sample using the formula
length(w)*sum(w^2)/(sum(w)^2).
It is designed for use in the moe family of functions. If any weights are equal to 0, they are removed prior to calculation.
Value
A number
Examples
deff_calc(illinois$weight)
jdjohn215/pollster documentation built on May 19, 2023, 4:34 p.m.
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View source: R/DesignEffectAndMOE.R
| deff_calc | R Documentation |
Calculate the design effect of a sample
Description
deff_calc returns a single number
Usage
deff_calc(w)
Arguments
w |
a vector of weights |
Details
This function returns the design effect of a given sample using the formula length(w)*sum(w^2)/(sum(w)^2). It is designed for use in the moe family of functions. If any weights are equal to 0, they are removed prior to calculation.
Value
A number
Examples
deff_calc(illinois$weight)
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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