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Plot N-gram Frequency

Source: R/lexical_analysis.R
plot_ngram_frequency.Rd

Creates a bar plot showing n-gram frequencies with optional highlighting of selected n-grams. Supports both detected n-grams and selected multi-word expressions.

Usage

plot_ngram_frequency(
  ngram_data,
  top_n = 30,
  selected = NULL,
  title = "N-gram Frequency",
  highlight_color = "#10B981",
  default_color = "#6B7280",
  height = 500,
  width = NULL,
  show_stats = TRUE
)

Arguments

ngram_data

Data frame containing n-gram data with columns:

  • collocation: The n-gram text

  • count: Frequency count

  • lambda: (optional) Lambda statistic

  • z: (optional) Z-score statistic

top_n

Number of top n-grams to display (default: 30)

selected

Character vector of selected n-grams to highlight (default: NULL)

title

Plot title (default: "N-gram Frequency")

highlight_color

Color for highlighted bars (default: "#10B981")

default_color

Color for non-highlighted bars (default: "#6B7280")

height

Plot height in pixels (default: 500)

width

Plot width in pixels (default: NULL for auto)

show_stats

Whether to show lambda and z-score in hover (default: TRUE)

Value

A plotly object

See also

Other visualization: apply_standard_plotly_layout(), create_empty_plot_message(), create_message_table(), create_standard_ggplot_theme(), get_dt_options(), get_plotly_hover_config(), get_sentiment_color(), get_sentiment_colors(), plot_cluster_terms(), plot_cross_category_heatmap(), plot_entity_frequencies(), plot_mwe_frequency(), plot_pos_frequencies(), plot_semantic_viz(), plot_similarity_heatmap(), plot_term_trends_continuous(), plot_word_frequency()

Examples

if (interactive()) {
  ngram_df <- data.frame(
    collocation = c("machine learning", "deep learning", "neural network"),
    count = c(150, 120, 90),
    lambda = c(5.2, 4.8, 4.1),
    z = c(12.3, 10.5, 9.2)
  )
  plot_ngram_frequency(ngram_df, selected = c("machine learning"))
}