do.random.partition: Random partition of the data

In hyperSMURF: Hyper-Ensemble Smote Undersampled Random Forests

Description

Performs a random partition of the indices that refer to a given data set (data frame or matrix)

Usage

do.random.partition(n.ex, n.partitions, seed = 0)

Arguments

n.ex	number of indices to be partitioned
n.partitions	number of partitions
seed	seed for the random generator

Details

The partition of the data is performed using only the indices of the data not the data itself

Value

a list with n.partitions elements. Each element stores the indices of the partition.

Examples

do.random.partition(100, 10)

Example output

Warning message:
replacing previous import 'BBmisc::isFALSE' by 'backports::isFALSE' when loading 'ParamHelpers' 
[[1]]
 [1]  5 96 58 62 99 79 92 22 81 69

[[2]]
 [1] 88 97 75 85 39 12 52 31  7 11

[[3]]
 [1] 48  4 82  6 16 43 66 56 29 59

[[4]]
 [1]  32  14  74   1  35   9  77  25  84 100

[[5]]
 [1] 18 91 13 51 80 67 71 37 55 15

[[6]]
 [1] 65 10 26 40 45 57 70 83 89 53

[[7]]
 [1]  2 27 72 76 28 17 46 64 44 95

[[8]]
 [1] 63 87 33 42 93 68 78 23 34 30

[[9]]
 [1] 21 19 24  3 60 94 36 20 98 50

[[10]]
 [1] 54  8 47 38 49 86 90 41 61 73

hyperSMURF documentation built on May 2, 2019, 9:20 a.m.