sampler: Sample a categorical or numeric vector using random or...
In talegari/forager: Compute auxiliary information (proximity, dissimilarity, outlyingness, depth) and imputation from tree ensembles on new data
Description
Usage
Arguments
Value
Description
This is intended to be used for synthetic data generation.
Usage
1
sampler(x, prop, seed)
Arguments
x
The vector.
prop
Random sampling when prop = TRUE. Else, uniform sampling is used.
seed
Seed for sampling.
Value
A sampled vector of the same length.
talegari/forager documentation built on May 3, 2019, 4:01 p.m.
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Description Usage Arguments Value
Description
This is intended to be used for synthetic data generation.
Usage
1 | sampler(x, prop, seed)
|
Arguments
x |
The vector. |
prop |
Random sampling when prop = TRUE. Else, uniform sampling is used. |
seed |
Seed for sampling. |
Value
A sampled vector of the same length.
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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