rainette: rainette2_plot – R documentation

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rainette

rainette2_plot

Generate a clustering description plot from a rainette2 result

Description

Generate a clustering description plot from a rainette2 result

Usage

rainette2_plot(
  res,
  dtm,
  k = NULL,
  criterion = c("chi2", "n"),
  complete_groups = FALSE,
  type = c("bar", "cloud"),
  n_terms = 15,
  free_scales = FALSE,
  measure = c("chi2", "lr"),
  show_negative = TRUE,
  text_size = 10
)

Arguments

`res`	result object of a `rainette2` clustering
`dtm`	the dfm object used to compute the clustering
`k`	number of groups. If NULL, use the biggest number possible
`criterion`	criterion to use to choose the best partition. `chi2` means the partition with the maximum sum of chi2, `n` the partition with the maximum size.
`complete_groups`	if TRUE, documents with NA cluster are reaffected by k-means clustering initialised with current groups centers.
`type`	type of term plots : barplot or wordcloud
`n_terms`	number of terms to display in keyness plots
`free_scales`	if TRUE, all the keyness plots will have the same scale
`measure`	statistics to compute
`show_negative`	if TRUE, show negative keyness features
`text_size`	font size for barplots, max word size for wordclouds

Value

A gtable object.