To use `rjwsacruncher`

you need to download the JWACruncher. It is available on https://github.com/jdemetra/jdemetra-app/releases or can be downloaded with the function `download_cruncher()`

:

```
library(rjwsacruncher)
# Directory where to save the JWSACruncher:
directory <- tempdir()
download_cruncher(directory)
```

To configure the JWSACruncher with a portable version of Java you can use the function `configure_jwsacruncher()`

. See `?configure_jwsacruncher`

for more informations.

To run the JWSACruncher you need three files:

- a “.param” file containing the refresh policy and the items of the seasonal adjustment to export;

- a valid JDemetra+ workspace;
- the path to the JWSACruncher.

In rjwsacruncher, there are four functions associated to run the JWSACruncher:

`create_param_file()`

to create the “.param” parameter file;

`cruncher()`

to run the JWSACruncher on a workspace from a parameter file;

`cruncher_and_param()`

to run the ‘JWSACruncher’ on a workspace while creating the parameter file;`update_workspace()`

to update a workspace without exporting the results.

`create_param_file()`

The parameters of the function `create_param_file()`

are those described in the wiki of the JWSACruncher: https://github.com/jdemetra/jwsacruncher/wiki. The three most important parameters of `create_param_file()`

are:

`policy`

the refresh policy (see table below).

Option on JDemetra+ | Option for the JWSACruncher | Description |
---|---|---|

Partial concurrent adjustment -> Fixed model | current | The ARIMA model, outliers and other regression parameters are not re-identified and the values of all parameters are fixed. The transformation type remains unchanged. |

Partial concurrent adjustment -> Estimate regression coefficients | fixedparameters (or fixed) | The ARIMA model, outliers and other regression parameters are not re-identified. The coefficients of the ARIMA model are fixed, other coefficients are re-estimated. The transformation type remains unchanged. |

Partial concurrent adjustment -> Estimate regression coefficients + Arima parameters | parameters (by default) | The ARIMA model, outliers and other regression parameters are not re-identified. All parameters of the RegARIMA model are re-estimated. The transformation type remains unchanged. |

Partial concurrent adjustment -> Estimate regression coefficients + Last outliers | lastoutliers | The ARIMA model, outliers (except from the outliers in the last year of the sample) and other regression parameters are not re-identified. All parameters of the RegARIMA model are re-estimated. The outliers in the last year of the sample are re-identified. The transformation type remains unchanged. |

Partial concurrent adjustment -> Estimate regression coefficients + all outliers | outliers | The ARIMA model and regression parameters, except from outliers) are not re-identified. All parameters of the RegARIMA model are re-estimated. All outliers are re-identified. The transformation type remains unchanged. |

Partial concurrent adjustment -> Estimate regression coefficients + Arima model | stochastic | Re-identification of the ARIMA model, outliers and regression variables, except from the calendar variables. The transformation type remains unchanged. |

Concurrent | complete (or concurrent) | Re-identification of the whole RegARIMA model. |

`matrix_item`

character containing the items of the matrix output. By default, the items defined in the option`default_matrix_item`

are exported. To change it we can change the option`default_matrix_item`

or the parameter`matrix_item`

:

```
# To get the default parameters
getOption("default_matrix_item")
# To change the default parameters to, for example, only export
# the information criteria:
options(default_matrix_item = c("likelihood.aic",
"likelihood.aicc",
"likelihood.bic",
"likelihood.bicc"))
```

`tsmatrix_series`

character containing the names of the times series to export. By default, the items defined in the option`default_tsmatrix_series`

are exported. To change it we can change the option`default_tsmatrix_series`

or the parameter`tsmatrix_series`

:

```
# To get the default parameters
getOption("default_tsmatrix_series")
# To change the default parameters to, for example, only export
# the seasonally adjusted series and its forecasts:
options(default_tsmatrix_series = c("sa", "sa_f"))
```

For more informations, see the help of the function: `?create_param_file`

. Below some examples to create the parameter file:

```
export_dir <- tempdir()
# To create the file parameters.params in the directory export_dir with
# the refresh policy "lastoutliers" and the others default parameters:
create_param_file(dir_file_param = "D:/",
policy = "lastoutliers")
# If the options "default_matrix_item" and "default_tsmatrix_series" were
# changed to only export the information criteria, the seasonally adjusted series and its forecasts, the previous code is equivalent to:
create_param_file(dir_file_param = export_dir,
policy = "lastoutliers",
matrix_item = c("likelihood.aic", "likelihood.aicc",
"likelihood.bic", "likelihood.bicc"),
tsmatrix_series = c("sa", "sa_f"))
```

To run the JWSACruncher with `cruncher()`

or `cruncher_and_param()`

, you have to specify the path to the JWSACruncher (`cruncher_bin_directory`

parameter) and the path to the workspace (`workspace`

parameter).

By default, the path to the JWSACruncher is the value of the option `cruncher_bin_directory`

: therefore you only have to change this option once so that it applies to all the future running. The path to specify is the folder containing the *jwsacruncher.bat* file which is under the “Bin” folder of the JWSACruncher. Thus, if it is installed in `D:\jdemetra-cli-2.2.2`

, the file *jwsacruncher.bat* will be under `D:\jdemetra-cli-2.2.2\bin`

and you have to change the `cruncher_bin_directory`

option as follows:

`options(cruncher_bin_directory = "D:/jdemetra-cli-2.2.2/bin/")`

If no workspace is specified, a dialog box opens to select it.

The `cruncher_and_param()`

function allows to create a temporary parameter file with `create_param_file()`

and then run the JWSACruncher with `cruncher()`

. In addition to the parameters available in these two functions, `cruncher_and_param()`

allows to rename the output folder containing the workspace results so that they are equal to the names of the multi-documents displayed in the JDemetra+ software with the parameter `rename_multi_documents`

(equals to `FALSE`

by default). Below are some examples:

```
# The following code updates the workspace "workspace", that is under the folder D:/,
# with the refresh policy "lastoutliers". Others parameters are the default ones of create_param_file().
# In particular, the exported parameters are those of the options
# "default_matrix_item" options and "default_tsmatrix_series" and the results
# will be under D:/workspace/Output/.
cruncher_and_param(workspace = "D:/workspace.xml",
policy = "lastoutliers")
# Use the parameter "outpout" to change the folder that will contains the results
cruncher_and_param(workspace = "D:/workspace.xml",
output = "D:/Results/",
policy = "lastoutliers")
# To change the names of the folders containing the outputs so that they are equal
# to the names of the multi-documents displayed in JDemetra+, use the parameter
# "rename_multi_documents = TRUE". The parameter "delete_existing_file = TRUE"
# allows to delete any existing folders with the same name as the multi-documents.
cruncher_and_param(workspace = "D:/workspace.xml",
rename_multi_documents = TRUE,
delete_existing_file = TRUE,
policy = "lastoutliers")
# To see the other parameters:
?cruncher_and_param
```