laeken (version 0.4.3)

incQuintile: 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

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 sup

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.

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.

Details

The implementation strictly follows the Eurostat definition.

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)