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These functions calculate the arithmetic and geometric mean of the weight for each class. geometric_mean
and
arithmetic_mean
return a numeric
vector of the same length as w
which stores the averaged weight for each
observation. geometric_mean_reference
returns the same value by reference, i.e. the input value w
gets
overwritten by the updated weights. See examples.
geometric_mean_reference(w, classes)
An numeric vector. All entries should be positive.
A factor variable. Must have the same length as w
.
# NOT RUN {
# }
# NOT RUN {
## create random data
nobs <- 10
classLabels <- letters[1:3]
dat = data.frame(
weight = exp(rnorm(nobs)),
household = factor(sample(classLabels, nobs, replace = TRUE))
)
dat
## calculate weights with geometric_mean
geom_weight <- geometric_mean(dat$weight, dat$household)
cbind(dat, geom_weight)
## calculate weights with arithmetic_mean
arith_weight <- arithmetic_mean(dat$weight, dat$household)
cbind(dat, arith_weight)
## calculate weights "by reference"
geometric_mean_reference(dat$weight, dat$household)
dat
# }
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