convertor: Convert a cleaned dataset into a model.matrix
In MokyoZhou/lassoenet: An Interactive Implementation of Penalised Regressions

Description Usage Arguments Value Author(s) Examples

This function converts a raw dataset into a user defined model.matrix.

1	convertor(data, response, x.indices)

`data`	A well-cleaned raw `data.frame` that you would like to convert into a model.matrix as an input for the glmnet package.
`response`	The column location of y in the dataset.
`x.indices`	The columns of Xs that you would like to convert into a `model.matrix`.

a list with elements:

`response`	the original response
`X.model.matrix`	the `model.matrix` for the predictors with the intercept column removed

Mokyo Zhou

data <- data.frame(matrix(rnorm(100*5),100,5))
#Assume y is on the first coordinate
#and the rest are Xs:
model_mat <- convertor(data = data, response = 1, x.indices = seq(2,5))