Usage
linrmir(Y, id=NULL, age,
weight = NULL,
sort = NULL,
Dom = NULL,
period = NULL,
dataset = NULL,
order_quant = 50,
var_name = "lin_rmir")
Arguments
Y
Study variable (for example equalized disposable income). One dimensional object convertible to one-column data.table or variable name as character, column number.
id
Optional variable for unit ID codes. One dimensional object convertible to one-column data.table or variable name as character, column number.
weight
Optional weight variable. One dimensional object convertible to one-column data.table or variable name as character, column number.
age
Age variable. One dimensional object convertible to one-column data.table or variable name as character, column number.
sort
Optional variable to be used as tie-breaker for sorting. One dimensional object convertible to one-column data.table or variable name as character, column number.
Dom
Optional variables used to define population domains. If supplied, linearization of at-risk-of-poverty threshold is done for each domain. An object convertible to data.table or variable names as character vector, column numbers as numeric vec
period
Optional variable for survey period. If supplied, linearization of at-risk-of-poverty threshold is done for each survey period. Object convertible to data.table or variable names as character, column numbers as numeric vector.
dataset
Optional survey data object convertible to data.table.
order_quant
A numeric value in range $\left[ 0,100 \right]$ for $\alpha$ in the formula for at-risk-of-poverty threshold computation:
$$\frac{p}{100} \cdot Z_{\frac{\alpha}{100}}.$$
For example, to compute the relative median income ratio to some percentage of medi
var_name
A character specifying the name of the linearized variable.