plot_keywords: Plots keywords from 'scale_text'

In wilryh/parrot: Text Scaling for Open-Ended Survey Responses

Description

plot_keywords plots keywords for each scaled text dimension.

Usage

plot_keywords(scores, x_dimension = 1, y_dimension = 2,
  q_cutoff = 0.9, plot_density = FALSE, unstretch = FALSE,
  color = FALSE)

Arguments

scores	List from output of scale_text.
x_dimension	An integer scalar. Dimension for x axis.
y_dimension	An integer scalar. Dimension for y axis.
q_cutoff	A numeric (0-1) scalar. Proportion of words to plot. For example, setting q_cutoff=0.9 will plot the most common 10% of words.
plot_density	A logical scalar. Plot both biplot and density.
unstretch	A logical scalar. Move pivot words toward origin.
color	A logical scalar. Color words in plot. If vector color is not provided in scores, will assign 5 colors using k-means on dimensions 1 through 10.

See Also

scale_text, read_word_embeddings, get_keywords, score_documents, doc_to_tdm

Examples

## Not run: 
scores <- scale_text(
    meta=out$meta,
    tdm=tdm
    )

plot_keywords(
    scores, x_dimension=1, y_dimension=2, q_cutoff=0.9
    )

## End(Not run)

wilryh/parrot documentation built on Jan. 9, 2020, 2:16 p.m.