partition_data: Partition data in train and test set
In andreaskapou/mpgex: Methylation Profiles predict Gene Expression

Description Usage Arguments Value Examples

partition_data partition data randomly in train and test sets.

1	partition_data(x, y, train_ind = NULL, train_perc = 0.7)

`x`	Input / Independent variables
`y`	Dependent variables
`train_ind`	Index of traininig data, if NULL a random one is generated.
`train_perc`	Percentage of training data when partitioning.

A list containing the train, test data and index of training data.

x <- matrix(c(-20, 0, 15, 20, 20, 10, 4, 5), ncol=2)
y <- c(2, 5, 0, 8)
data <- partition_data(x, y)

##
x <- matrix(c(-20, 0, 15, 20, 20, 10, 4, 5), ncol=2)
y <- c(2, 5, 0, 8)
train_ind <- c(1,4)
data <- partition_data(x, y, train_ind)