R: Weighted income quintile

incQuintile {laeken} | R Documentation

## 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)

[Package laeken version 0.4.6 Index]