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Sample Procedure Co-occurrence Data

Source: R/upset-plot.R
sample_upset_data.Rd

Generates a realistic cardiac-surgery procedure data set where each row is a patient and each column is a logical indicator of a specific procedure. Co-occurrence rates are modelled from a latent primary-procedure type so that the UpSet plot shows meaningful overlap patterns (e.g. aortic valve patients frequently have concomitant aorta work; mitral valve patients frequently have concomitant TV repair).

Usage

sample_upset_data(n = 500, seed = 42L)

Arguments

n

Number of patients. Default 500.

seed

Random seed for reproducibility. Default 42.

Value

A data frame with n rows and the following logical columns: AV_Replacement, AV_Repair, MV_Replacement, MV_Repair, TV_Repair, Aorta, CABG.

See also

hv_upset()

Examples

dta <- sample_upset_data(n = 300, seed = 42)
head(dta)
#>   AV_Replacement AV_Repair MV_Replacement MV_Repair TV_Repair Aorta  CABG
#> 1          FALSE     FALSE          FALSE      TRUE     FALSE FALSE FALSE
#> 2          FALSE     FALSE          FALSE      TRUE     FALSE FALSE FALSE
#> 3          FALSE     FALSE          FALSE     FALSE     FALSE FALSE  TRUE
#> 4          FALSE      TRUE          FALSE     FALSE     FALSE FALSE FALSE
#> 5          FALSE     FALSE           TRUE     FALSE      TRUE FALSE FALSE
#> 6           TRUE     FALSE          FALSE     FALSE     FALSE FALSE  TRUE
colSums(dta)
#> AV_Replacement      AV_Repair MV_Replacement      MV_Repair      TV_Repair 
#>             93             40             45             33             36 
#>          Aorta           CABG 
#>             37            114