extract_QR {JDCruncheR}

Extraction of a quality report

Description

To extract a quality report from the csv file containing the diagnostics matrix.

Usage

extract_QR(matrix_output_file, sep = ";", dec = ",")

Arguments

matrix_output_file

the csv file containing the diagnostics matrix.

sep

the separator used in the csv file (by default, sep = ";")

dec

the decimal separator used in the csv file (by default, dec = ",")

Details

This function generates a quality report from a csv file containing diagnostics (usually from the file demetra_m.csv). The demetra_m.csv file can be generated by launching the cruncher (functions cruncher or cruncher_and_param) with the default export parameters, having used the default option csv_layout = "vtable" to format the output tables of the functions cruncher_and_param and create_param_file when creating the parameters file.

This function returns a QR_matrix object, which is a list of 3 objects:

• modalities, a data.frame containing several indicators and their categorical quality (Good, Uncertain, Bad, Severe).

• values, a data.frame containing the same indicators and the values that lead to their quality category (i.e.: p-values, statistics, etc.) as well as additional variables that don't have a modality/quality (series frequency and arima model).

• score_formula that will store the formula used to calculate the score (when relevant). Its initial value is NULL.

Value

a QR_matrix object.

See Also

Traduction française

Other QR_matrix functions: export_xlsx(), export_xlsx.QR_matrix(), export_xlsx.mQR_matrix(), rbind.QR_matrix(), sort(), weighted_score()

Examples

# Path of matrix demetra_m
demetra_path <- file.path(
    system.file("extdata", package = "JDCruncheR"),
    "WS/ws_ipi/Output/SAProcessing-1",
    "demetra_m.csv"
)

# Extract the quality report from the demetra_m file
QR <- extract_QR(demetra_path)

print(QR)

# Extract the modalities matrix:
QR$modalities
# Or:
QR[["modalities"]]