A fully simulated dataset (not patient data) mimicking the structure of a
gastric-symptom study: demographics, gastric metrics, symptom sub-scales, and
summary scores for 100 imaginary subjects, one row per subject. Loadings are
deliberately moderate and uneven, so only a realistic subset of correlations
is significant. Generated by data-raw/make_example_data.R.
Format
A data frame with 100 rows and 16 variables:
- Age, BMI
Demographics.
- Amplitude, Fed-Fasted AR, Frequency, GA-RI
Simulated gastric metrics.
- Nausea, Early satiety, Bloating, Upper GI pain, Lower GI pain, Heartburn
Symptom sub-scale scores.
- GCSI, PAGI-SYM, PAGI-QoL, EQ-5D
Summary symptom and quality-of-life scores.
Details
Bundled with the package (LazyData: true), so it is available directly as
gastro_symptoms as soon as you library(circlecorR) – no data() call
needed. Pass it straight to corr_wheel(); see vignette("circlecorR") for
a worked example.