grandpart: Accessory Function for Cross-validation
In apricom: Tools for the a Priori Comparison of Regression Modelling Strategies
Description
Usage
Arguments
Value
Note
Description
Randomly partition a dataset into k approximately equally sized partitions.
Usage
1
grandpart(dataset, k)
Arguments
dataset
a dataset for partitioning.
k
the number of partitions; the cross-validation fold number.
Value
Returns a list containing the partitioned datasets.
Note
This function is not designed to be called directly,
but acts within kcrossval
apricom documentation built on May 2, 2019, 6:21 a.m.
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Description Usage Arguments Value Note
Description
Randomly partition a dataset into k approximately equally sized partitions.
Usage
1 | grandpart(dataset, k)
|
Arguments
dataset |
a dataset for partitioning. |
k |
the number of partitions; the cross-validation fold number. |
Value
Returns a list containing the partitioned datasets.
Note
This function is not designed to be called directly,
but acts within kcrossval
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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