weighted.rank: Weighted rank estimation
In cNORM: Continuous Norming
weighted.rank R Documentation
Weighted rank estimation
Description
Conducts weighted ranking on the basis of sums of weights per unique raw score.
Please provide a vector with raw values and an additional vector with the weight
of each observation. In case the weight vector is NULL, a normal ranking is done.
The vectors may not include NAs and the weights should be positive non-zero
values. With equal weights, the result reproduces the mid-ranks of base R's
rank() (ties.method = "average").
Usage
weighted.rank(x, weights = NULL)
Arguments
x
A numerical vector
weights
A numerical vector with weights; should have the same length as x
Value
the weighted absolute ranks
cNORM documentation built on July 13, 2026, 5:08 p.m.
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| weighted.rank | R Documentation |
Weighted rank estimation
Description
Conducts weighted ranking on the basis of sums of weights per unique raw score.
Please provide a vector with raw values and an additional vector with the weight
of each observation. In case the weight vector is NULL, a normal ranking is done.
The vectors may not include NAs and the weights should be positive non-zero
values. With equal weights, the result reproduces the mid-ranks of base R's
rank() (ties.method = "average").
Usage
weighted.rank(x, weights = NULL)
Arguments
x |
A numerical vector |
weights |
A numerical vector with weights; should have the same length as x |
Value
the weighted absolute ranks
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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