arpr(inc, weights = NULL, sort = NULL, years = NULL,
breakdown = NULL, design = NULL, data = NULL, p = 0.6,
var = NULL, alpha = 0.05, na.rm = FALSE, ...)data is not NULL)
a character string, an integer or a logical vector
specifying the corresponding column of data.data is not
NULL) a character string, an integer or a logical
vector specifying the corresponding column of
data.data is not NULL) a character string,
an integer or a logical vector specifying the
corresponding column of data is not
NULL) a character string, an integer or a logical
vector specifying the corresponding column of
data. If supdata is not NULL)
a character string, an integer or a logical vector
specifying the corresponding column of data. If
supplied, the valuesvar is not
NULL; either an integer vector or factor giving
different strata for stratified sampling designs, or (if
data is not NULL) a character string, an
integer data.frame.arpt).NULL to omit
variance estimation. See variance for
possible values.var is not NULL,
this gives the significance level to be used for
computing the confidence interval (i.e., the confidence
level is $1 -$alpha).var is not NULL, additional
arguments to be passed to variance."arpr" (which inherits from the
class "indicator") with the following components:data.frame containing the
values by stratum, or NULL.NULL if variance
estimation was omitted.NULL.data.frame containing the
variance estimates by stratum, or NULL.NULL.data.frame containing the
lower and upper endpoints of the confidence intervals by
stratum, or NULL.alpha),
or NULL.arpt, variancedata(eusilc)
# overall value
arpr("eqIncome", weights = "rb050", data = eusilc)
# values by region
arpr("eqIncome", weights = "rb050",
breakdown = "db040", data = eusilc)Run the code above in your browser using DataLab