set_as_numeric_matrix {dataPreparation} R Documentation

## Numeric matrix preparation for Machine Learning.

### Description

Prepare a numeric matrix from a data.table. This matrix is suitable for machine learning purposes, since factors are binarized. It may be sparsed, include an intercept, and drop a reference column for each factor if required (when using lm(), for instance)

### Usage

set_as_numeric_matrix(
data_set,
intercept = FALSE,
all_cols = FALSE,
sparse = FALSE
)


### Arguments

 data_set data.table intercept Should a constant column be added? (logical, default to FALSE) all_cols For each factor, should we create all possible dummies, or should we drop a reference dummy? (logical, default to FALSE) sparse Should the resulting matrix be of a (sparse) Matrix class? (logical, default to FALSE)

[Package dataPreparation version 1.0.4 Index]