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Sample Spaghetti / Profile Plot Data

Source: R/spaghetti-plot.R
sample_spaghetti_data.Rd

Generates a realistic repeated-measures longitudinal data set for demonstrating hv_spaghetti(). Each row is one observation for one patient at one time point, mimicking serial echocardiographic measurements after cardiac surgery (AV mean gradient trajectory over follow-up). Patients have an irregular number of follow-up measurements and a group indicator (e.g. sex), matching the b_echo.xpt structure in the template.

Usage

sample_spaghetti_data(
  n_patients = 150,
  max_obs = 6,
  groups = c(Female = 0.45, Male = 0.55),
  seed = 42L
)

Arguments

n_patients

Number of unique patients. Default 150.

max_obs

Maximum number of observations per patient. Default 6.

groups

Named character vector of group labels and their sampling probabilities (summing to 1). Default c(Female = 0.45, Male = 0.55).

seed

Random seed for reproducibility. Default 42.

Value

A data frame with columns:

  • id — patient identifier (integer)

  • time — years from index procedure (numeric)

  • value — continuous outcome (numeric; AV mean gradient in mmHg)

  • group — group label (factor)

See also

hv_spaghetti()

Examples

dta <- sample_spaghetti_data(n_patients = 100, seed = 42)
head(dta)
#>   id time value  group
#> 1  1 0.58 24.09 Female
#> 2  1 0.89 17.44 Female
#> 3  1 2.60 19.86 Female
#> 4  1 4.06 25.13 Female
#> 5  2 0.77 10.25 Female
#> 6  2 1.67 11.34 Female
table(dta$group)
#> 
#> Female   Male 
#>    193    189