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#' Create dataframe of alter attributes based on social networks and fertility data (LISS: wj18a_EN_1.0p.sav)
#'
#' @param data Tibble which is the result of `create_relation_labels(fix_errors(change_column_types(translate(read_data()))))`
#'
#' @return Tibble with variable `alter_attr` which includes a dataframe with alter attributes for each respondent
#'
#' @examplesIf file.exists("wj18a_EN_1.0p.sav")
#' data <- read_data() |> translate() |>
#' change_column_types() |> fix_errors() |> create_relation_labels()
#' create_alter_attr(data[1, ])
#'
#' @export
create_alter_attr <- function(data) {
# as.vector(...) needed because otherwise list is provided
alter_attr <- data.frame(
names_a = 1:25,
sex_a = as.vector(data[vars_sex], "character"),
age_a = as.vector(data[vars_age], "character"),
education_a = factor(
as.vector(data[vars_education], "character"),
levels = c(
"Primary education, or has not yet completed any education",
"Secondary school or comparable",
"Intermediate professional education or comparable",
"Higher professional education or comparable",
"University or higher or comparable"),
ordered = TRUE),
closeness_a = factor(
as.vector(data[vars_closeness], "character"),
levels = c(
"Not at all close",
"Not close",
"A bit close",
"Close",
"Very close"),
ordered = TRUE),
contact_f2f_a = factor(
as.vector(data[vars_contact_f2f], "character"),
levels = c(
"A few times a year or less",
"About once a month",
"Several times a month",
"Several times a week",
"Daily"),
ordered = TRUE),
contact_other_a = factor(
as.vector(data[vars_contact_other], "character"),
levels = c(
"A few times a year or less",
"About once a month",
"Several times a month",
"Several times a week",
"Daily"),
ordered = TRUE),
# for original labels, uncomment below code
# relation_orig_a = as.vector(data[vars_relation], "character"),
relation_a = as.vector(data[vars_relation_new], "character"),
friend_a = as.vector(data[vars_friend], "character"),
has_child_a = as.vector(data[vars_has_child], "character"),
num_child_a = as.vector(data[vars_num_child], "character"),
age_child_a = as.vector(data[vars_age_child], "character"),
happiness_child_a = as.vector(data[vars_happiness_child], "character"),
childwish_a = as.vector(data[vars_childwish], "character"),
childfree_a = as.vector(data[vars_childfree], "character"),
help_child_a = as.vector(data[vars_help_child], "character"),
talk_child_a = as.vector(data[vars_talk_child], "character")
)
# Code below creates new variables based on relation to alter
alter_attr$primary_relation_a = as.character(
lapply(alter_attr$relation_a, function(x) primary_relationship(x))
)
return(alter_attr)
}
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