Determine if there is a crossing in the cross K curves, to further detect the existence of potential immune rings. --requires additional explanation/reference. Cite own paper?
Arguments
- df.cross
Data.frame. The output of
calculate_cross_functions
. Containing the positions of the two curves. Columns contain "r", "border" and "theo".
Examples
df_cross <- calculate_cross_functions(SPIAT::defined_image, method = "Kcross",
cell_types_of_interest = c("Tumour","Immune3"),
feature_colname ="Cell.Type", dist = 100)
crossing_of_crossK(df_cross)
#> [1] "Crossing of cross K function is detected for this image, indicating a potential immune ring."
#> [1] "The crossing happens at the 50 % of the specified distance."
#> [1] 0.5