Classify Food Consumption Score (FCS)

Classify Food Consumption Score (FCS)

Usage

fcs_classify(fcs, cutoff = NULL, add = FALSE, spread = FALSE)

Arguments

fcs

A vector of food consumption scores.

cutoff

A numeric vector of length 2 for the cut-offs to use for classifying FCS. Default to NULL in which case standard recommended cut-off values for FCS are used.

add

Logical. Should classification be column bound to fcs? Default to FALSE.

spread

Logical. Should classification be spread into columns? Default to FALSE.

Value

If spread = TRUE, a data.frame with number of rows equal to the length of fcs and number of columns equal to length of fill plus an initial column named fcs containing the FCS values provided by fcs argument if add = TRUE. Otherwise, a vector of class factor containing FCS classifications. If add = TRUE, this vector is concatenated with the fcs values in a data.frame.

Author

Ernest Guevarra

Examples

var_map <- fcs_fg_map_variables(
  staples = "FCSStap",
  pulses = "FCSPulse",
  vegetables = "FCSVeg",
  fruits = "FCSFruit",
  meatfish = "FCSPr",
  milk = "FCSDairy",
  sugar = "FCSSugar",
  oil = "FCSFat",
  condiment = "FCSCond"
) 

fcs <- fcs_calculate(df = fcs01, var_map = var_map)

fcs_classify(fcs$fcs)
#>  [1] acceptable acceptable acceptable acceptable borderline acceptable
#>  [7] borderline acceptable borderline acceptable acceptable acceptable
#> [13] acceptable acceptable acceptable acceptable acceptable acceptable
#> [19] borderline acceptable acceptable acceptable acceptable acceptable
#> [25] <NA>       poor      
#> Levels: poor borderline acceptable