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Extracts kanji subjects and formats them into a structured data frame with similarity information.

Usage

wk_extract_kanji(subjects_data, levels = NULL, include_similarity = TRUE)

Arguments

subjects_data

List of subject data from wk_subjects

levels

Numeric vector of levels to filter (optional)

include_similarity

Logical indicating whether to include similarity analysis

Value

A data frame with columns: id, type, kanji, meanings, readings, level, similar

Examples

if (FALSE) { # \dontrun{
# Get all kanji subjects
subjects <- wk_subjects(types = "kanji", all_pages = TRUE)
kanji_table <- wk_extract_kanji(subjects$data)

# Get kanji for specific levels
level_subjects <- wk_subjects(types = "kanji", levels = 1:5)
kanji_table <- wk_extract_kanji(level_subjects$data, levels = 1:5)
} # }