symptoms {MplusLGM} | R Documentation |
Symptoms Data
Description
A simulated, longitudinal dataset capturing symptom severity with an arbitrary scale (total score: 0-28), over a 2-year follow-up period for 350 individuals. The data is not normally distributed and exhibits heterogeneity, including latent (unobserved) trajectories of symptom severity that reflect diverse progression patterns across individuals. The dataset contains no missing data.
Usage
symptoms
Format
A dataframe with 1 row per individual, 350 observations and 10 variables.
- id
Individual identifier, numeric.
- sx_0
Symptoms severity at month 0, numeric.
- sx_3
Symptoms severity at month 3, numeric.
- sx_6
Symptoms severity at month 6, numeric.
- sx_9
Symptoms severity at month 9, numeric.
- sx_12
Symptoms severity at month 12, numeric.
- sx_15
Symptoms severity at month 15, numeric.
- sx_18
Symptoms severity at month 18, numeric.
- sx_21
Symptoms severity at month 21, numeric.
- sx_24
Symptoms severity at month 24, numeric.
Source
Data simulated using modgo