# RoME

#### W. Zupa, I. Bitetto

#### 2026-07-23

# RoME

Authors: W. Zupa, I. Bitetto

COISPA Tecnologia & Ricerca, Stazione Sperimentale per lo Studio delle Risorse del Mare

RoME package integrates a list of common quality checks on survey data. The main function RoME() calls all the functions built in the package in an ordered way to perform a complete quality check of TX data available. The order of the checks in RoME was implemented in a defined sequence to avoid cascade errors due to the correction of a previous error. The function does not correct the data itself, but it detects the errors, warning the user that there is the possibility of one or more errors, specifying the type of the error and easing the data correction. RoME stops if an error occurs; then the user has to correct the error and run again the code to continue with the other checks. The function can be used on a complete time series dataset, checking year after year, until the end of the time series. After the checks of the mandatory fields and the controlled vocabulary, that are carried out for all the TX tables, the specific checks on each kind of TX table are performed. Finally, RoME provides a list of cross checks aimed to guarantee the consistency among the data tables. If parameter verbose=TRUE returns a series of text output in console to let the user to trace the state of the checks. All the output of the functions are stored in the user defined working directory wd and in the sub-directory there resident. In the Lofile subfolder are stored the logfiles of each run of the function.

## Installation

You can install the released version of RoME from CRAN with:

    install.packages("RoME")

Or install the development version from GitHub with:

    # install.packages("remotes")
    # remotes::install_git("https://github.com/COISPA/RoME")

## References

Anonymus. 2017. MEDITS-Handbook. Version n.9. MEDITS Working Group. 106 pp.

## Use of RoME function

The following example shows the typical usage of the `RoME()` function. Note that the function writes output files to the working directory `wd`.

    library(RoME)
    wd <- tempdir()
    suffix <- NA
    DataTA <- data.frame(RoME::TA[RoME::TA$YEAR == 2012, ])
    DataTB <- data.frame(RoME::TB[RoME::TB$YEAR == 2012, ])
    DataTC <- data.frame(RoME::TC[RoME::TC$YEAR == 2012, ])
    DataTE <- NA
    DataTL <- NA
    RoME(DataTA, DataTB, DataTC, DataTE, DataTL, wd, suffix, verbose = TRUE)

## Use of RoMEcc function

    wd <- tempdir()
    suffix <- NA
    DataTA <- data.frame(RoME::TA[RoME::TA$YEAR == 2012, ])
    DataTB <- data.frame(RoME::TB[RoME::TB$YEAR == 2012, ])
    DataTC <- data.frame(RoME::TC[RoME::TC$YEAR == 2012, ])
    DataTE <- NA
    DataTL <- NA
    RoMEcc(DataTA, DataTB, DataTC, DataTE, DataTL, wd, suffix, verbose = TRUE)

## Graphical interface

To launch the embedded Shiny application:

    run_RoME_app()