Converting "values variables" into "modalities variables"

To transform variables from the values matrix into categorical variables that can be added into the modalities matrix.

Usage

recode_indicator_num(
  x,
  variable_name,
  breaks = c(0, 0.01, 0.05, 0.1, 1),
  labels = c("Good", "Uncertain", "Bad", "Severe"),
  ...
)

# S3 method for class 'QR_matrix'
recode_indicator_num(
  x,
  variable_name,
  breaks = c(0, 0.01, 0.05, 0.1, 1),
  labels = c("Good", "Uncertain", "Bad", "Severe"),
  ...
)

# S3 method for class 'mQR_matrix'
recode_indicator_num(
  x,
  variable_name,
  breaks = c(0, 0.01, 0.05, 0.1, 1),
  labels = c("Good", "Uncertain", "Bad", "Severe"),
  ...
)

Arguments

x

a QR_matrix or mQR_matrix object.

variable_name

a vector of strings containing the names of the variables to convert.

breaks

see function cut.

labels

see function cut.

...

other parameters of the cut function.

Value

The function recode_indicator_num() returns the same object, enhanced with the chosen indicator. So if the input x is a QR_matrix, an object of class QR_matrix is returned. If the input x is a mQR_matrix, an object of class mQR_matrix is returned.

See also

Traduction française

Other var QR_matrix manipulation: QR_var_manipulation

Examples

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

# Extract the quality report from the demetra_m file
QR <- extract_QR(demetra_path)
#> Multiple column found for extraction of diagnostics.seas-i-qs:2, diagnostics.seas-i-qs
#> Last column selected
#> Multiple column found for extraction of diagnostics.seas-i-f:2, diagnostics.seas-i-f
#> Last column selected

# Recode residuals_skewness
QR2 <- recode_indicator_num(QR, variable_name = "residuals_skewness",
                            breaks = c(0.0, 0.01, 0.05, 0.1, 1.0),
                            labels = c("Good", "Uncertain", "Bad", "Severe")
)

QR$modalities$residuals_skewness
#> [1] Good      Good      Good      Good      Uncertain Good     
#> Levels: Bad < Uncertain < Good
QR2$modalities$residuals_skewness
#> [1] Severe    Severe    Severe    Severe    Uncertain Severe   
#> Levels: Good Uncertain Bad Severe