Easily plot euler diagrams

Easily plot euler diagrams

Usage

plot_euler(data, pri, sec, ter = NULL, seed = 2103)

Arguments

data

data

seed

seed

x

name of main variable

y

name of secondary variables

z

grouping variable

Value

patchwork object

Examples

data.frame(
  A = sample(c(TRUE, TRUE, FALSE), 50, TRUE),
  B = sample(c("A", "C"), 50, TRUE),
  C = sample(c(TRUE, FALSE, FALSE, FALSE), 50, TRUE),
  D = sample(c(TRUE, FALSE, FALSE, FALSE), 50, TRUE)
) |> plot_euler("A", c("B", "C"), "D", seed = 4)
#> Error in plot_euler(data.frame(A = sample(c(TRUE, TRUE, FALSE), 50, TRUE),     B = sample(c("A", "C"), 50, TRUE), C = sample(c(TRUE, FALSE,         FALSE, FALSE), 50, TRUE), D = sample(c(TRUE, FALSE, FALSE,         FALSE), 50, TRUE)), "A", c("B", "C"), "D", seed = 4): object 'i18n' not found
mtcars |> plot_euler("vs", "am", seed = 1)

mtcars |> plot_euler("vs", "am", "cyl", seed = 1)
#> Error in plot_euler(mtcars, "vs", "am", "cyl", seed = 1): object 'i18n' not found
stRoke::trial |>
  dplyr::mutate(
    mfi_cut = cut(mfi_6, c(0, 12, max(mfi_6, na.rm = TRUE))),
    mdi_cut = cut(mdi_6, c(0, 20, max(mdi_6, na.rm = TRUE)))
  ) |>
  purrr::map2(
    c(sapply(stRoke::trial, \(.x)REDCapCAST::get_attr(.x, attr = "label")), "Fatigue", "Depression"),
    \(.x, .y){
      REDCapCAST::set_attr(.x, .y, "label")
    }
  ) |>
  dplyr::bind_cols() |>
  plot_euler("mfi_cut", "mdi_cut")

stRoke::trial |>
  plot_euler(pri="male", sec=c("hypertension"))