ANR2: Example Eating Disorder Diagnostic Data

In alsi: Aggregated Latent Space Index for Multiple Correspondence Analysis

Example Eating Disorder Diagnostic Data

Description

Individual-level binary diagnostic data for eating disorder patients, including nine psychiatric diagnoses and pre/post treatment measures.

Usage

ANR2

Format

A data frame with 1261 rows and 13 variables:

MDD

Major Depressive Disorder (0 = absent, 1 = present)

DYS

Dysthymia (0 = absent, 1 = present)

DEP

Depression (0 = absent, 1 = present)

PTSD

Post-Traumatic Stress Disorder (0 = absent, 1 = present)

OCD

Obsessive-Compulsive Disorder (0 = absent, 1 = present)

GAD

Generalized Anxiety Disorder (0 = absent, 1 = present)

ANX

Anxiety (0 = absent, 1 = present)

SOPH

Social Phobia (0 = absent, 1 = present)

ADHD

Attention-Deficit/Hyperactivity Disorder (0 = absent, 1 = present)

pre_bmi

Pre-treatment Body Mass Index (numeric)

post_bmi

Post-treatment Body Mass Index (numeric)

pre_EDI

Pre-treatment Eating Disorder Inventory score (numeric)

post_EDI

Post-treatment Eating Disorder Inventory score (numeric)

Source

Baylor College of Medicine eating disorder treatment program data. Data have been de-identified and anonymized for research purposes.

Examples

data(ANR2)

# Examine structure
str(ANR2)

# View diagnostic variables
vars <- c("MDD", "DYS", "DEP", "PTSD", "OCD", "GAD", "ANX", "SOPH", "ADHD")
head(ANR2[, vars])

# Check prevalence of diagnoses
colMeans(ANR2[, vars], na.rm = TRUE)

alsi documentation built on Feb. 17, 2026, 5:07 p.m.