cvsplit: Cross-Validation Splitting
In Dynge/r_dynge: Dynge's Useful Functions
Description
Usage
Arguments
Value
Examples
Description
This function shuffles the observations of a dataset, splits it into k-folds and produces a
list of the training sets and a list of the validation sets. Furthermore
Usage
1
Arguments
train
The dataset you wish to split.
folds
The amount of folds you wish to produce. Note the amount of observations divided by folds must equal a whole number.
Value
trainlist
A list of the training sets
vallist
A list of the validation sets
Examples
1
2
Dynge/r_dynge documentation built on July 1, 2019, 11:21 p.m.
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Description Usage Arguments Value Examples
Description
This function shuffles the observations of a dataset, splits it into k-folds and produces a list of the training sets and a list of the validation sets. Furthermore
Usage
1 |
Arguments
train |
The dataset you wish to split. |
folds |
The amount of folds you wish to produce. Note the amount of observations divided by folds must equal a whole number. |
Value
trainlist |
A list of the training sets |
vallist |
A list of the validation sets |
Examples
1 2 |
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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