Description Usage Arguments Details Value Author(s) References See Also Examples
Estimate the quintile share ratio, which is defined as the ratio of the sum of equivalized disposable income received by the top 20% to the sum of equivalized disposable income received by the bottom 20%.
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inc |
either a numeric vector giving the equivalized disposable income,
or (if |
weights |
optional; either a numeric vector giving the personal sample
weights, or (if |
sort |
optional; either a numeric vector giving the personal IDs to be
used as tie-breakers for sorting, or (if |
years |
optional; either a numeric vector giving the different years of
the survey, or (if |
breakdown |
optional; either a numeric vector giving different domains,
or (if |
design |
optional and only used if |
cluster |
optional and only used if |
data |
an optional |
var |
a character string specifying the type of variance estimation to
be used, or |
alpha |
numeric; if |
na.rm |
a logical indicating whether missing values should be removed. |
... |
if |
The implementation strictly follows the Eurostat definition.
A list of class "qsr"
(which inherits from the class
"indicator"
) with the following components:
value |
a numeric vector containing the overall value(s). |
valueByStratum |
a |
varMethod |
a character string specifying the type of variance
estimation used, or |
var |
a numeric vector containing the variance estimate(s), or
|
varByStratum |
a |
ci |
a numeric vector or matrix containing the lower and upper
endpoints of the confidence interval(s), or |
ciByStratum |
a |
alpha |
a numeric value giving the significance level used for
computing the confidence interval(s) (i.e., the confidence level is 1 -
|
years |
a numeric vector containing the different years of the survey. |
strata |
a character vector containing the different domains of the breakdown. |
Andreas Alfons
A. Alfons and M. Templ (2013) Estimation of Social Exclusion Indicators from Complex Surveys: The R Package laeken. Journal of Statistical Software, 54(15), 1–25. doi: 10.18637/jss.v054.i15
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, Luxembourg.
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