% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{sochealth}
\alias{sochealth}
\title{Simulated social-health survey}
\format{
A tibble with 1200 rows and 24 variables:
\describe{
\item{sex}{Factor. Sex of the respondent.}
\item{age}{Numeric. Age in years (25--75).}
\item{age_group}{Ordered factor. Age group
(25--34, 35--49, 50--64, 65--75).}
\item{education}{Ordered factor. Highest education level
(Lower secondary, Upper secondary, Tertiary).}
\item{social_class}{Ordered factor. Subjective social class
(Lower, Working, Lower middle, Middle, Upper middle).}
\item{region}{Factor. Region of residence (6 regions).}
\item{employment_status}{Factor. Employment status
(Employed, Student, Unemployed, Inactive).}
\item{income_group}{Ordered factor. Household income group
(Low, Lower middle, Upper middle, High). Contains missing
values.}
\item{income}{Numeric. Monthly household income in CHF.}
\item{smoking}{Factor. Current smoker (No, Yes). Contains
missing values.}
\item{physical_activity}{Factor. Regular physical activity
(No, Yes).}
\item{dentist_12m}{Factor. Dentist visit in the last 12 months
(No, Yes).}
\item{self_rated_health}{Ordered factor. Self-rated health
(Poor, Fair, Good, Very good). Contains missing values.}
\item{wellbeing_score}{Numeric. WHO-5 wellbeing index
(0--100).}
\item{bmi}{Numeric. Body mass index. Contains missing values.}
\item{bmi_category}{Ordered factor. BMI category
(Normal weight, Overweight, Obesity). Contains missing values.}
\item{institutional_trust}{Ordered factor. Trust in institutions
(Very low, Low, High, Very high).}
\item{political_position}{Numeric. Political position on a
0 (left) to 10 (right) scale. Contains missing values.}
\item{life_sat_health}{Integer. Satisfaction with own health
(1--5 Likert scale). Contains missing values.}
\item{life_sat_work}{Integer. Satisfaction with work or main
activity (1--5 Likert scale). Contains missing values.}
\item{life_sat_relationships}{Integer. Satisfaction with
personal relationships (1--5 Likert scale). Contains missing
values.}
\item{life_sat_standard}{Integer. Satisfaction with standard
of living (1--5 Likert scale). Contains missing values.}
\item{response_date}{POSIXct. Date and time of survey response
(September--November 2024).}
\item{weight}{Numeric. Survey design weight.}
}
}
\source{
Simulated data for illustration purposes.
}
\usage{
sochealth
}
\description{
A simulated dataset of 1200 respondents from a fictional
social-health survey, designed to illustrate the main features of
the spicy package: variable labels, ordered factors, survey
weights, association measures, and APA-style reporting.
}
\details{
All variables carry labels (accessible via \code{\link[labelled:var_label]{labelled::var_label()}}
and displayed by \code{\link[=varlist]{varlist()}}). Several ordered factors are included
so that \code{\link[=cross_tab]{cross_tab()}} can demonstrate automatic ordinal measure
selection.
}
\examples{
data(sochealth)
varlist(sochealth)
freq(sochealth, education)
cross_tab(sochealth, education, self_rated_health)
}
\keyword{datasets}
