ModelMatrix {SSBtools} | R Documentation |

## Model matrix from hierarchies and/or a formula

### Description

A common interface to `Hierarchies2ModelMatrix`

, `Formula2ModelMatrix`

and `HierarchiesAndFormula2ModelMatrix`

### Usage

```
ModelMatrix(
data,
hierarchies = NULL,
formula = NULL,
inputInOutput = TRUE,
crossTable = FALSE,
sparse = TRUE,
viaOrdinary = FALSE,
total = "Total",
removeEmpty = !is.null(formula) & is.null(hierarchies),
modelMatrix = NULL,
dimVar = NULL,
select = NULL,
...
)
NamesFromModelMatrixInput(
data = NULL,
hierarchies = NULL,
formula = NULL,
dimVar = NULL,
...
)
```

### Arguments

`data` |
Matrix or data frame with data containing codes of relevant variables |

`hierarchies` |
List of hierarchies, which can be converted by |

`formula` |
A model formula |

`inputInOutput` |
Logical vector (possibly recycled) for each element of hierarchies.
TRUE means that codes from input are included in output. Values corresponding to |

`crossTable` |
Cross table in output when TRUE |

`sparse` |
Sparse matrix in output when TRUE (default) |

`viaOrdinary` |
When TRUE, output is generated by |

`total` |
String(s) used to name totals |

`removeEmpty` |
When |

`modelMatrix` |
The model matrix as input (same as output) |

`dimVar` |
The main dimensional variables and additional aggregating variables. This parameter can be useful when hierarchies and formula are unspecified. |

`select` |
Data frame specifying variable combinations for output or a named list specifying code selections for each variable (see details). |

`...` |
Further arguments to |

### Details

The default value of `removeEmpty`

corresponds to the default settings of the underlying functions.
The functions `Hierarchies2ModelMatrix`

and `HierarchiesAndFormula2ModelMatrix`

have `removeEmpty`

as an explicit parameter with `FALSE`

as default.
The function `Formula2ModelMatrix`

is a wrapper for `FormulaSums`

,
which has a parameter `includeEmpty`

with `FALSE`

as default.
Thus, `ModelMatrix`

makes a call to `Formula2ModelMatrix`

with `includeEmpty = !removeEmpty`

.

`NamesFromModelMatrixInput`

returns the names of the data columns involved in creating the model matrix.
Note that `data`

must be non-NULL to convert dimVar as indices to names.

The `select`

parameter is forwarded to `Hierarchies2ModelMatrix`

unless `removeEmpty = TRUE`

is combined with `select`

as a data frame.
In all other cases, `select`

is handled outside the underlying functions by making selections in the result.
Empty columns can be added to the model matrix when `removeEmpty = FALSE`

(with warning).

### Value

A (sparse) model matrix or a list of two elements (model matrix and cross table)

### Author(s)

Ã˜yvind Langsrud

### See Also

### Examples

```
# Create some input
z <- SSBtoolsData("sp_emp_withEU")
ageHier <- data.frame(mapsFrom = c("young", "old"), mapsTo = "Total", sign = 1)
geoDimList <- FindDimLists(z[, c("geo", "eu")], total = "Europe")[[1]]
# Small dataset example. Two dimensions.
s <- z[z$geo == "Spain" & z$year != 2016, ]
rownames(s) <- NULL
s
# via Hierarchies2ModelMatrix() and converted to ordinary matrix (not sparse)
ModelMatrix(s, list(age = ageHier, year = ""), sparse = FALSE)
# Hierarchies generated automatically. Then via Hierarchies2ModelMatrix()
ModelMatrix(s[, c(1, 4)])
# via Formula2ModelMatrix()
ModelMatrix(s, formula = ~age + year)
# via model.matrix() after adding empty factor levels
ModelMatrix(s, formula = ~age + year, sparse = FALSE, viaOrdinary = TRUE)
# via sparse.model.matrix() after adding empty factor levels
ModelMatrix(s, formula = ~age + year, viaOrdinary = TRUE)
# via HierarchiesAndFormula2ModelMatrix() and using different data and parameter settings
ModelMatrix(s, list(age = ageHier, geo = geoDimList, year = ""), formula = ~age * geo + year,
inputInOutput = FALSE, removeEmpty = TRUE, crossTable = TRUE)
ModelMatrix(s, list(age = ageHier, geo = geoDimList, year = ""), formula = ~age * geo + year,
inputInOutput = c(TRUE, FALSE), removeEmpty = FALSE, crossTable = TRUE)
ModelMatrix(z, list(age = ageHier, geo = geoDimList, year = ""), formula = ~age * year + geo,
inputInOutput = c(FALSE, TRUE), crossTable = TRUE)
# via Hierarchies2ModelMatrix() using unnamed list element. See AutoHierarchies.
colnames(ModelMatrix(z, list(age = ageHier, c(Europe = "geo", Allyears = "year", "eu"))))
colnames(ModelMatrix(z, list(age = ageHier, c("geo", "year", "eu")), total = c("t1", "t2")))
# Example using the select parameter as a data frame
select <- data.frame(age = c("Total", "young", "old"), geo = c("EU", "nonEU", "Spain"))
ModelMatrix(z, list(age = ageHier, geo = geoDimList),
select = select, crossTable = TRUE)$crossTable
# Examples using the select parameter as a list
ModelMatrix(z, list(age = ageHier, geo = geoDimList), inputInOutput = FALSE,
select = list(geo = c("nonEU", "Portugal")), crossTable = TRUE)$crossTable
ModelMatrix(z, list(age = ageHier, geo = geoDimList),
select = list(geo = c("nonEU", "Portugal"), age = c("Total", "young")),
crossTable = TRUE)$crossTable
```

*SSBtools*version 1.5.2 Index]