Compute outlying scagnostic measure using MST

Compute outlying scagnostic measure using MST

sc_outlying(x, y)

# S3 method for scree
sc_outlying(x, y = NULL)

# S3 method for default
sc_outlying(x, y)

Examples

  require(ggplot2)
  require(tidyr)
  require(dplyr)
  data(anscombe_tidy)
  ggplot(anscombe_tidy, aes(x=x, y=y)) +
    geom_point() +
    facet_wrap(~set, ncol=2, scales = "free")

  sc_outlying(anscombe$x1, anscombe$y1)
#> [1] 0
  sc_outlying(anscombe$x2, anscombe$y2)
#> [1] 0
  sc_outlying(anscombe$x3, anscombe$y3)
#> [1] 0.1641544
  sc_outlying(anscombe$x4, anscombe$y4)
#> Warning: success: collinearities reduced through jitter
#> Warning: dataset started with 3 colinear points, jitter added!
#> [1] 0.3467313
  ggplot(datasaurus_dozen, aes(x=x, y=y)) +
    geom_point() +
    facet_wrap(~dataset, ncol=3, scales = "free")

  sc_outlying(datasaurus_dozen_wide$away_x, datasaurus_dozen_wide$away_y)
#> [1] 0.05350975
  sc_outlying(datasaurus_dozen_wide$bullseye_x, datasaurus_dozen_wide$bullseye_y)
#> [1] 0.1129649
  sc_outlying(datasaurus_dozen_wide$circle_x, datasaurus_dozen_wide$circle_y)
#> [1] 0.2728165
  sc_outlying(datasaurus_dozen_wide$dino_x, datasaurus_dozen_wide$dino_y)
#> [1] 0
  sc_outlying(datasaurus_dozen_wide$dots_x, datasaurus_dozen_wide$dots_y)
#> [1] 0.3304787
  sc_outlying(datasaurus_dozen_wide$h_lines_x, datasaurus_dozen_wide$h_lines_y)
#> [1] 0.1774638
  sc_outlying(datasaurus_dozen_wide$high_lines_x, datasaurus_dozen_wide$high_lines_y)
#> [1] 0.07259745
  sc_outlying(datasaurus_dozen_wide$slant_down_x, datasaurus_dozen_wide$slant_up_y)
#> [1] 0
  sc_outlying(datasaurus_dozen_wide$star_x, datasaurus_dozen_wide$star_y)
#> [1] 0.4035069
  sc_outlying(datasaurus_dozen_wide$v_lines_x, datasaurus_dozen_wide$v_lines_y)
#> [1] 0.1901609
  sc_outlying(datasaurus_dozen_wide$wide_lines_x, datasaurus_dozen_wide$wide_lines_y)
#> [1] 0.01798614
  sc_outlying(datasaurus_dozen_wide$x_shape_x, datasaurus_dozen_wide$x_shape_y)
#> [1] 0.186033