SkeletalVis (version 0.1.2)

plot_similarity: Plot ranked cosine similarity scores with top n labels

Description

Takes a similarity table with columns for ID, cosine, and zscore values, and generates a plot showing the rank of the z-scores on a log scale. Labels for the top n IDs with the highest z-scores are displayed on the plot.

Usage

plot_similarity(similarity_table, top_n = 10)

Value

A ggplot object displaying the ranked z-scores on a log scale, with labels for the top n items by zscore.

Arguments

similarity_table

A data frame with columns: `ID` (identifier for each item), `cosine` (cosine similarity score), and `zscore` (z-score).

top_n

An integer indicating the number of top IDs by zscore to label in the plot. Default is 10.

Examples

data(query)
skeletalvis <- load_skeletalvis(demo=TRUE)
similarity_results <- experiment_similarity(skeletalvis, query)

# Plot similarity table with labels for top 5 items
plot_similarity(similarity_results, top_n = 5)