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{rjd3production}

Présentation

{rjd3production} aide les producteurs de données CVS-CJO à mettre en place des chaînes de production.

Il permet notamment de :

• Créer des calendriers français et régresseurs de calendrier compatibles JDemetra+

• Identifier des SAI par leur nom

• Selectionner les jeux de calendrier pour une ou plusieurs séries

• Manipuler les régresseurs de calendrier et les outliers d’un Workspace selon la dynamique suivante:

  • Les fonctions import_XXX() et export_XXX() permettent de convertir les data.frame contenant les outliers et régresseurs de calendrier en fichiers et inversement

  • Les fonctions retrieve_XXX() et assign_XXX() permettent d’extraire (resp. d’assigner) les outliers et régresseurs de calendrier d’un workspace

flowchart LR
    %% Objects
    WS["WS<br/>(JDemetra+<br/>workspace)"]
    DF_OUT["outliers_df<br/>(data.frame)"]
    DF_TD["td_df<br/>(data.frame)"]
    YAML_OUT["outliers YAML<br/>(outliers_&lt;ws_name&gt;.yaml)"]
    YAML_TD["TD YAML<br/>(td_&lt;ws_name&gt;.yaml)"]
    SERIES["Series<br/>(time series data)"]

    %% Outliers workflow
    DF_OUT -->|"assign_outliers()"| WS
    WS -->|"retrieve_outliers()"| DF_OUT
    DF_OUT -->|"export_outliers()"| YAML_OUT
    YAML_OUT -->|"import_outliers()"| DF_OUT

    %% TD workflow
    SERIES -->|"select_td()"| DF_TD
    WS -->|"retrieve_td()"| DF_TD
    DF_TD -->|"export_td()"| YAML_TD
    YAML_TD -->|"import_td()"| DF_TD
    DF_TD -->|"assign_td()"| WS

    %% Styles
    classDef ws fill:#e6f2ff,stroke:#4a7ebb,stroke-width:1px;
    classDef df fill:#e9f7ef,stroke:#2e8b57,stroke-width:1px;
    classDef yaml fill:#fff3e0,stroke:#cc8400,stroke-width:1px;
    classDef series fill:#f5e6ff,stroke:#7a3db8,stroke-width:1px;

    class WS ws
    class DF_OUT,DF_TD df
    class YAML_OUT,YAML_TD yaml
    class SERIES series

Installation

{rjd3production} s’appuie sur le package {rJava}

L’exécution des packages rjd3 nécessite Java 21 ou plus. La manière de mettre en place une telle configuration dans R est expliquée ici.

Latest release

Pour obtenir la version stable actuelle (à partir de la dernière version) :

• Depuis GitHub :

# install.packages("remotes")
remotes::install_github("InseeFr/rjd3production@*release")

• De r-universe :

install.packages("rjd3production", repos = c("https://TanguyBarthelemy.r-universe.dev", "https://cloud.r-project.org"))

Version de développement

Vous pouvez installer la version de développement de {rjd3production} depuis [GitHub] (https://github.com/) avec :

# install.packages("remotes")
remotes::install_github("InseeFr/rjd3production")

Overview

{rjd3production} helps producers of seasonal data to set up production lines.

In particular, it enables you to:

• Create JDemetra+-compatible French calendars and calendar regressors

• Identify SAIs by name

• Select calendar sets for one or more series

• Manipulate Workspace calendar regressors and outliers according to the following dynamics:

  • The import_XXX() and export_XXX() functions convert data.frames containing calendar outliers and regressors into files, and vice versa.
  • The retrieve_XXX() and assign_XXX() functions extract (resp. assign) calendar outliers and regressors from a workspace.

flowchart LR
    %% Objects
    WS["WS<br/>(JDemetra+<br/>workspace)"]
    DF_OUT["outliers_df<br/>(data.frame)"]
    DF_TD["td_df<br/>(data.frame)"]
    YAML_OUT["outliers YAML<br/>(outliers_&lt;ws_name&gt;.yaml)"]
    YAML_TD["TD YAML<br/>(td_&lt;ws_name&gt;.yaml)"]
    SERIES["Series<br/>(time series data)"]

    %% Outliers workflow
    DF_OUT -->|"assign_outliers()"| WS
    WS -->|"retrieve_outliers()"| DF_OUT
    DF_OUT -->|"export_outliers()"| YAML_OUT
    YAML_OUT -->|"import_outliers()"| DF_OUT

    %% TD workflow
    SERIES -->|"select_td()"| DF_TD
    WS -->|"retrieve_td()"| DF_TD
    DF_TD -->|"export_td()"| YAML_TD
    YAML_TD -->|"import_td()"| DF_TD
    DF_TD -->|"assign_td()"| WS

    %% Styles
    classDef ws fill:#e6f2ff,stroke:#4a7ebb,stroke-width:1px;
    classDef df fill:#e9f7ef,stroke:#2e8b57,stroke-width:1px;
    classDef yaml fill:#fff3e0,stroke:#cc8400,stroke-width:1px;
    classDef series fill:#f5e6ff,stroke:#7a3db8,stroke-width:1px;

    class WS ws
    class DF_OUT,DF_TD df
    class YAML_OUT,YAML_TD yaml
    class SERIES series

Installation

To get the current stable version (from the latest release):

• From GitHub:

# install.packages("remotes")
remotes::install_github("InseeFr/rjd3production@*release")

• From r-universe:

install.packages("rjd3production", repos = c("https://TanguyBarthelemy.r-universe.dev", "https://cloud.r-project.org"))

Development version

You can install the development version of {rjd3production} from GitHub with:

# install.packages("remotes")
remotes::install_github("InseeFr/rjd3production")

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.