KfoldCV: Split a dataset into k parts for k-fold cross-validation
In brbnci/pact: Predictive Analysis of Clinical Trials
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Split a dataset into k parts for k-fold cross-validation. This function is used in
pact.cv to create the splits for cross-validation
Usage
1
KfoldCV(n, k)
Arguments
n
The sample size
k
The number of folds. k=n would mean a leave-one-out cross-validation
Value
A integer vector of same length as n. Each observation is an integer taking a value
between 1 to k denoting the fold it belongs to.
Author(s)
Jyothi Subramanian and Richard Simon
Maintainer: Jyothi Subramanian <subramanianj01@gmail.com>
Examples
1
2
brbnci/pact documentation built on May 13, 2019, 5:04 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
Split a dataset into k parts for k-fold cross-validation. This function is used in
pact.cv to create the splits for cross-validation
Usage
1 | KfoldCV(n, k)
|
Arguments
n |
The sample size |
k |
The number of folds. k=n would mean a leave-one-out cross-validation |
Value
A integer vector of same length as n. Each observation is an integer taking a value between 1 to k denoting the fold it belongs to.
Author(s)
Jyothi Subramanian and Richard Simon
Maintainer: Jyothi Subramanian <subramanianj01@gmail.com>
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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