reinPlot: Plot Terms by Cluster

Description

This function creates a horizontal bar plot to visualize the most significant terms for each cluster, based on their Chi-squared statistics.

Usage

reinPlot(terms, nPlot = 10)

Value

An interactive horizontal bar plot (using plotly) displaying the top terms for each cluster. The plot includes:

Bars representing the Chi-squared values of terms.
Hover information displaying the term and its Chi-squared value.

Arguments

terms

A data frame containing terms and their associated statistics, such as Chi-squared values, generated by the term_per_cluster function. The data frame must include the following columns:

term: The term to plot.
chi_square: The Chi-squared statistic associated with the term.
sign: The sign of the term ("positive" or "negative").

nPlot

Integer. The number of top terms to plot for each sign ("positive" and "negative"). Default is 10.

Details

The function organizes the input data by Chi-squared values and selects the top terms for each sign. The plot uses different colors for positive and negative terms, with hover tooltips providing detailed information.

Examples

Run this code

if (FALSE) {
data(mobydick)
res <- reinert(
  x = mobydick,
  k = 10,
  term = "token",
  segment_size = 40,
  min_segment_size = 5,
  min_split_members = 10,
  cc_test = 0.3,
  tsj = 3
)

tc <- term_per_cluster(res, cutree = NULL, k = 1, negative = FALSE)

fig <- reinPlot(tc$terms, nPlot = 10)
}