JDCruncheR (version 0.3.5)

extract_QR: Extraction of a quality report

Description

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

Usage

extract_QR(
  file,
  x,
  matrix_output_file,
  sep = ";",
  dec = ",",
  thresholds = getOption("jdc_thresholds")
)

Value

a QR_matrix object.

Arguments

file

the csv file containing the diagnostics matrix. This argument supersedes the argument matrix_output_file.

x

data.frame containing the diagnostics matrix.

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 = ",")

thresholds

list of numerical vectors. Thresholds applied to the various tests in order to classify into modalities Good, Uncertain, Bad and Severe. By default, the value of the "jdc_threshold" option is used. You can call the get_thresholds function to see what the thresholds object should look like.

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.

If x is supplied, the file and matrix_output_file arguments are ignored. The file argument also designates the path to the file containing the diagnostic matrix (which can be imported into R in parallel and used with the x argument).

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(file = demetra_path)

print(QR)

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