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 binary. It may be sparse,
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 1.1.1 Index]