rescale_marital_status: Rescale the Eurobarometer marital status variable.
In antaldaniel/surveyreader: Data cleaning and integration for survey files

Description Usage Arguments Examples

If you only need a simpler categorization, use the 4- or 5- category versions of this variable. This is a truly categorical variable. The return_class="factor" and return_class="character" give shorthened versions of the GESIS labels for easier handling in R. This is a wrapper function around the rescale_categories function.

1 2	rescale_marital_status(column, from = NULL, to = NULL, na_labels = c("default"), return_class = "factor", underscore = TRUE)

`column`	A column from a survey data with the subjective urbanization answers.
`from`	Defaults to `c("NULL")` in which case the GESIS coding in English `c("Widow/er: living without children","Single living w partner: without children" ...` will be used. The GESIS coding is not same across files.
`to`	Defaults to `NULL` in which case the GESIS coding will be shortened to `c("widow_no_children", "partners_no_children" ...)`.
`na_labels`	Defaults to `c("default")`.
`return_class`	Default is `"factor"` the alternative is `"character"`.
`underscore`	Defaults to `TRUE` in which case factor names or character strings contain underscore_between_words. This is a better approach for further programming, but you can choose `FALSE` for nicer printing results. See examples.

rescale_marital_status (c("Widow/er: living without children",
                          "(Re-)Married: w children of this marriage",
                          "DK"),
                        return_class = "character",
                        underscore = FALSE)