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Make a reference vector

Source: R/makeReferenceVector.R
makeReferenceVector.Rd

A reference vector must be defined for each partial indicator so as to compare different spatial entities. This vector is used by p2distance() (as the base reference) to calculate the distance of each spatial entity from this reference base. It is common to use the minimum value as the base reference (see references).

Usage

makeReferenceVector(X, reference_vector_function = min)

Arguments

X

A data frame or matrix with n rows (entities) and m columns (variables).

reference_vector_function

Function used to build the reference vector. Common choices are min, max, mean, median, etc. See apply() for details. min is the default.

Value

A vector with the reference value (base reference) for each variable. Its length equals the number of variables.

References

Peña, J. B. (1977). Problemas de la medición del bienestar y conceptos afines (una aplicación al caso Español). Madrid: INE.

Peña, J. B. (2009). La medición del bienestar social: una revisión crítica. Estudios de Economía Aplicada, 27(2), 299-324.

Somarriba, N. (2008). Aproximación a la medición de la calidad de vida en la Unión Europea. Doctoral Thesis. University of Valladolid.

Zarzosa, P. (1992). Aproximación a la medición del bienestar social, estudio de la idoneidad del indicador sintético Distancia P2. Doctoral Thesis. University of Valladolid.

See also

p2distance()

Examples

## Create a data frame of 3 variables (indicators) for 6 entities (rows)
dat <- data.frame(
  x1 = c(10, 12, 13, 14, 12, 11),
  x2 = c(40, 51, 61, 68, 34, 44),
  x3 = c(0.43, 0.41, 0.39, 0.55, 0.60, 0.38)
)

## Calculate the reference vector using the minimum value of each variable
makeReferenceVector(dat, reference_vector_function = min)
#>      x1 x2   x3
#> [1,] 10 34 0.38