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Sample EDA Data

Source: R/eda-plots.R
sample_eda_data.Rd

Generates a realistic mixed-type patient-level data frame for demonstrating hv_eda() and eda_select_vars(). The data mimics a cardiac surgery registry with binary, ordinal, character-categorical, and continuous variables, plus a modest proportion of missing values.

Usage

sample_eda_data(n = 300L, year_range = c(2005L, 2020L), seed = 42L)

Arguments

n

Number of patients. Default 300.

year_range

Integer vector c(start, end) for surgery years. Default c(2005L, 2020L).

seed

Random seed for reproducibility. Default 42.

Value

A data frame with columns:

  • year — integer surgery year (discrete x for barplots)

  • op_years — continuous years from first year in range (x for scatterplots)

  • male — binary 0/1 (sex)

  • cabg — binary 0/1 (concomitant CABG)

  • nyha — ordinal 1–4 (NYHA class)

  • valve_morph — character (valve morphology: Bicuspid / Tricuspid / Unicuspid)

  • ef — continuous ejection fraction (%)

  • lv_mass — continuous LV mass index (g/m²)

  • peak_grad — continuous peak gradient (mmHg)

See also

hv_eda(), eda_classify_var(), eda_select_vars()

Examples

dta <- sample_eda_data()
head(dta)
#>   year op_years male cabg nyha valve_morph   ef lv_mass peak_grad
#> 1 2005     0.48    1    0    2   Tricuspid 66.3    97.6      31.0
#> 2 2009     4.44    1    0    2   Unicuspid 52.0   121.1      38.0
#> 3 2005     0.06    0    0    2   Tricuspid   NA   129.7      25.2
#> 4 2013     8.32    1    0    3    Bicuspid 49.8   131.4      52.5
#> 5 2014     9.87    1    0    4   Tricuspid   NA   146.3        NA
#> 6 2008     3.92    1    1    1    Bicuspid 20.0   148.0      45.1
sapply(dta, eda_classify_var)
#>        year    op_years        male        cabg        nyha valve_morph 
#>      "Cont"      "Cont"   "Cat_Num"   "Cat_Num"   "Cat_Num"  "Cat_Char" 
#>          ef     lv_mass   peak_grad 
#>      "Cont"      "Cont"      "Cont"