transformation.apply: apply transformation functions
In collinleiber/benchmarkVis: Benchmark result visualisation
Description
Usage
Arguments
Value
Examples
Description
do transformation and return a new data table
Usage
1
2
transformation.apply(original.data, columns.to.transform,
transformation.functions)
Arguments
original.data
a data table in benchmarkVis format
columns.to.transform
the list of columns to apply the functions on
transformation.functions
the functions for transofrmation of data
Value
a data table containing the original data and transformed versions of columns
Examples
1
transformation.apply(original.data = mlr.benchmark.example, columns.to.transform = c("measure.mmce.test.mean", "measure.ber.test.mean"), transformation.functions = c("log2"))
collinleiber/benchmarkVis documentation built on May 28, 2019, 8:23 a.m.
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Description Usage Arguments Value Examples
Description
do transformation and return a new data table
Usage
1 2 | transformation.apply(original.data, columns.to.transform,
transformation.functions)
|
Arguments
original.data |
a data table in benchmarkVis format |
columns.to.transform |
the list of columns to apply the functions on |
transformation.functions |
the functions for transofrmation of data |
Value
a data table containing the original data and transformed versions of columns
Examples
1 | transformation.apply(original.data = mlr.benchmark.example, columns.to.transform = c("measure.mmce.test.mean", "measure.ber.test.mean"), transformation.functions = c("log2"))
|
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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