kfold_partition: K-Fold Partition
In ebuhle/SEMPSM: Structural Equation Modeling for Pre-Spawning Mortality Using Stan
Description
Usage
Arguments
Value
View source: R/kfold_partition.R
Description
Randomly partition sites into groups for cross-validation.
Sites are randomly partitioned into K groups that are
roughly similar in size (i.e., number of observations). If multiple permutations
are requested, kfold_partition returns the one with the smallest range
of group sizes.
Usage
1
kfold_partition(psm_dat, K, N_random = 1000)
Arguments
psm_dat
A data frame with a column of class factor named site.
K
A positive integer giving the number of groups.
N_random
A natural number giving the number of random permutations to compare.
Value
A named list with components
N_groupA vector of group sizes.
- group
A vector giving the group membership of each row in psm_dat.
ebuhle/SEMPSM documentation built on Aug. 8, 2020, 4:05 a.m.
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Description Usage Arguments Value
View source: R/kfold_partition.R
Description
Randomly partition sites into groups for cross-validation.
Sites are randomly partitioned into K groups that are
roughly similar in size (i.e., number of observations). If multiple permutations
are requested, kfold_partition returns the one with the smallest range
of group sizes.
Usage
1 | kfold_partition(psm_dat, K, N_random = 1000)
|
Arguments
psm_dat |
A data frame with a column of class factor named |
K |
A positive integer giving the number of groups. |
N_random |
A natural number giving the number of random permutations to compare. |
Value
A named list with components
N_groupA vector of group sizes.
- group
A vector giving the group membership of each row in
psm_dat.
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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