Audit palette separation and background contrast — sc_palette

Contrast values are diagnostic for plotted marks and are not treated as definitive WCAG pass/fail thresholds for small points. Fully named color vectors retain their labels in the worst-pair diagnostics. Exact duplicate assignments remain in the distance calculation and therefore produce a zero-distance collision rather than being discarded.

Usage

sc_palette_audit(
  x,
  background = "#FFFFFF",
  cvd = c("none", "deutan", "protan", "tritan"),
  method = "cie2000"
)

Arguments

x: Palette ID, color vector, or sc_color_map.
background: Background color.
cvd: Vision simulations to include.
method: Color-distance method; currently "cie2000".

Value

An object of class sc_palette_audit. Its vision table includes the display-ready worst_pair plus separate label and color columns for the pair. Label columns are NA for unnamed color vectors.

Examples

sc_palette_audit("okabe_ito", cvd = c("none", "deutan"))
#> <sc_palette_audit> okabe_ito
#>  n_colors invalid_color_count duplicate_count min_distance median_distance
#>         8                   0               0     21.72367        49.49019
#>         worst_pair min_contrast median_contrast lightness_monotonic
#>  #E69F00 / #F0E442     1.322328        3.241087                  NA
#>  diverging_center_distinct
#>                         NA