split_data: Split data
In OptHoldoutSize: Estimation of Optimal Size for a Holdout Set for Updating a Predictive Score
View source: R/OptHoldoutSize_simulation.R
split_data R Documentation
Split data
Description
Split data into holdout and intervention sets
Usage
split_data(X, frac)
Arguments
X
Matrix of observations
frac
Fraction of observations to use for the training set
Value
Vector of TRUE/FALSE values (randomised) with proportion frac as TRUE
Examples
# See examples for model_predict
OptHoldoutSize documentation built on April 12, 2025, 1:34 a.m.
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View source: R/OptHoldoutSize_simulation.R
| split_data | R Documentation |
Split data
Description
Split data into holdout and intervention sets
Usage
split_data(X, frac)
Arguments
X |
Matrix of observations |
frac |
Fraction of observations to use for the training set |
Value
Vector of TRUE/FALSE values (randomised) with proportion frac as TRUE
Examples
# See examples for model_predict
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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