datasplit: Split the data into a training set and a test set
In MokyoZhou/lassoenet: An Interactive Implementation of Penalised Regressions

Description Usage Arguments Value Author(s) Examples

This function splits the data.frame into a training set and a test set with user defined proportions.

1	datasplit(data = data, splits = splits, random = FALSE)

`data`	A well-cleaned `data.frame` that you would like to split into a training set and a test set.
`splits`	A two-element vector with the first element specifying the training proportion and the second being the test proportion.
`random`	If TRUE, uses a random seed so you will get a different training and testing set everytime you run this. If FALSE, the draws are based on the seed (12345678). Default is random = FALSE.

a list with elements:

`train`	the training set
`test`	the test set

Mokyo Zhou

data <- data.frame(matrix(rnorm(100*5),100,5))
traintest <- datasplit(data = data, splits = c(0.8,0.2), random = FALSE)
training <- traintest[[1]]
testing <- traintest[[2]]