Plot Lexical Diversity Distribution

Creates a boxplot showing the distribution of a lexical diversity metric.

Usage

plot_lexical_diversity_distribution(lexdiv_data, metric, title = NULL)

Arguments

lexdiv_data

Data frame from lexical_diversity_analysis()

metric

Metric to plot. Recommended: "MTLD" or "MATTR" (text-length independent)

title

Plot title (default: auto-generated)

Value

A plotly boxplot

See also

Other lexical: calculate_dispersion_metrics(), calculate_lexical_dispersion(), calculate_log_odds_ratio(), calculate_text_readability(), clear_lexdiv_cache(), detect_multi_words(), extract_keywords_keyness(), extract_keywords_tfidf(), extract_morphology(), extract_named_entities(), extract_noun_chunks(), extract_pos_tags(), extract_subjects_objects(), find_similar_words(), get_sentences(), get_spacy_embeddings(), get_spacy_model_info(), get_word_similarity(), init_spacy_nlp(), lexical_analysis, lexical_diversity_analysis(), lexical_frequency_analysis(), parse_morphology_string(), plot_keyness_keywords(), plot_keyword_comparison(), plot_morphology_feature(), plot_readability_by_group(), plot_readability_distribution(), plot_tfidf_keywords(), plot_top_readability_documents(), render_displacy_dep(), render_displacy_ent(), spacy_extract_entities(), spacy_has_vectors(), spacy_initialized(), spacy_parse_full(), summarize_morphology()

Examples

if (FALSE) { # \dontrun{
data(SpecialEduTech)
texts <- SpecialEduTech$abstract[1:10]
corp <- quanteda::corpus(texts)
toks <- quanteda::tokens(corp)
dfm_obj <- quanteda::dfm(toks)
result <- lexical_diversity_analysis(dfm_obj)
plot <- plot_lexical_diversity_distribution(result$lexical_diversity, "MTLD")
print(plot)
} # }