Plot LDA topic alignment results — ldaplot

ldaplot_alignment() plots the alignment of LDA topics across models.

Usage

ldaplot_alignment(lda_alignment, show_product = TRUE, ...)

lda_alignment

The output of align_lda_topics().

show_product

Whether to show the product or transport alignment.

...

Arguments passed on to alto::plot_alignment

x: (required) An alignment class object resulting from align_topics.
rect_gap: (optional) A float describing how much vertical space to put between topics within the same model. The units correspond to topic masses. Defaults to 0.2.
color_by: (optional) What should the color of topics and weights encode? Defaults to 'path'. Other possible arguments are 'coherence', 'refinement', or 'topic'.
model_name_repair_fun: (optional) How should names be repaired before plotting?
label_topics: (optional, default = FALSE) A logical specifying if topics should be labeled with the "color_by" information.
add_leaves: (optional, default = FALSE) A logical specifying if the topic composition of leave-topics should be printed.
leaves_text_size: (optional, default = 10) specifies the font size of leaves annotations in pt if add_leaves is TRUE.
n_features_in_leaves: (optional, default = 3) specifies the maximum number of features that should be included in the leaves annotations if add_leaves is TRUE.
min_feature_prop: (optional, default = 0.1) specifies the minimum proportion of a feature in a topic for that feature to be included in the leaves annotations if add_leaves is TRUE.
top_n_edges: (optional, integer, default = NULL) specifies the number of edges that should be drawn between the topics of subsequent models. The top_n_edges with the highest weights are drawn. If NULL (default), all edges are drawn.

A ggplot object.