incQuintile {laeken}

Weighted income quintile

Description

Compute weighted income quintiles.

Usage

incQuintile(
  inc,
  weights = NULL,
  sort = NULL,
  years = NULL,
  k = c(1, 4),
  data = NULL,
  na.rm = FALSE
)

Arguments

inc

either a numeric vector giving the (equivalized disposable) income, or (if data is not NULL) a character string, an integer or a logical vector specifying the corresponding column of data.

weights

optional; either a numeric vector giving the personal sample weights, or (if data is not NULL) a character string, an integer or a logical vector specifying the corresponding column of data.

sort

optional; either a numeric vector giving the personal IDs to be used as tie-breakers for sorting, or (if data is not NULL) a character string, an integer or a logical vector specifying the corresponding column of data.

years

optional; either a numeric vector giving the different years of the survey, or (if data is not NULL) a character string, an integer or a logical vector specifying the corresponding column of data. If supplied, values are computed for each year.

k

a vector of integers between 0 and 5 specifying the quintiles to be computed (0 gives the minimum, 5 the maximum).

data

an optional data.frame.

na.rm

a logical indicating whether missing values should be removed.

Details

The implementation strictly follows the Eurostat definition.

Value

A numeric vector (if years is NULL) or matrix (if years is not NULL) containing the values of the weighted income quintiles specified by k are returned.

Author(s)

Andreas Alfons

References

Working group on Statistics on Income and Living Conditions (2004) Common cross-sectional EU indicators based on EU-SILC; the gender pay gap. EU-SILC 131-rev/04, Eurostat.

See Also

qsr, weightedQuantile

Examples

data(eusilc)
incQuintile("eqIncome", weights = "rb050", data = eusilc)