Compare Factor Similarity Across Lists

Usage

same_factor(
  ...,
  method = c("exact", "order"),
  levels,
  ordered = FALSE,
  digits = 3
)

Arguments

...: Lists of categorical values (character or factor) to compare. Can be named (e.g., "l1" = list1, "l2" = list2) to control list names.
method: Character vector of similarity methods. Choose from: "exact", "order" (default: all)
levels: Character vector of all allowed levels for comparison
ordered: Logical. If TRUE, treat levels as ordered (ordinal). If FALSE, the "order" method is skipped.
digits: Number of digits to round results (default: 3)

Value

An S3 object of type "similar_factor" containing:

scores: Numeric similarity scores by method and comparison
summary: Summary statistics by method and comparison
methods: Methods used for comparison
list_names: Names of compared lists
levels: Levels used for categorical comparison

Examples

list1 <- list("high", "medium", "low")
list2 <- list("high", "low", "medium")

# Using unnamed lists
result1 <- same_factor(list1, list2, levels = c("low", "medium", "high"))
#> ℹ Skipping 'order' method because levels are not explicitly ordered. Set ordered = TRUE to compute the order method.
#> ✔ Computed exact scores for "list1_list2" [mean: 0.333]

# Using named lists for more control
result2 <- same_factor(
  "l1" = list1, "l2" = list2,
  levels = c("low", "medium", "high")
)
#> ℹ Skipping 'order' method because levels are not explicitly ordered. Set ordered = TRUE to compute the order method.
#> ✔ Computed exact scores for "l1_l2" [mean: 0.333]