wc: Produce wordcloud

In dickie-roper/cloudr:

Description

Produce wordcloud

Usage

wc(words, weights, word_buffer = 0, lower_cex = 0.5, upper_cex = 2,
  buffer = 0.2, lo_col = "black", hi_col = "black", spiral_n = 8,
  spiral_res = 500, spiral_a0 = 0, spiral_a1 = 0.4, seed = NULL,
  vert = TRUE, plot_spirals = FALSE, markup = FALSE)

Arguments

words	Character vector of words to use in word cloud
weights	The weigths associated with each word - will be normalised and passed as the text cex
word_buffer	A buffer to be added to each word. Default is 0. Negative values will make words plot over eachother
lower_cex	Lower cex for lowest word weight
upper_cex	Upper cex for highest word weight
buffer	Buffer for plot region x dimension (npc units)
lo_col	Colour for lowest word weight (a continuos colour scale from lo to hi will be constructed)
hi_col	Colour for highest word weight (a continuos colour scale from lo to hi will be constructed)
spiral_n	Number of full rotations in spiral
spiral_res	Resilution of spirals
spiral_a0	Spiral start relative to x coordinate
spiral_a1	Spiral end
seed	Seed for reproducabile plots
vert	Logical. Use vertical words in wordcloud
plot_spirals	Logical. Choose whether to plott he spirals for each point on the page
markup	Logical. Add word borders, x-y coordinates and page boundaries/buffer zone

Examples

wc(obama$word[1:100],
obama$count[1:100],
lower_cex = 1,
upper_cex = 3.5,
spiral_n = 10,
spiral_res = 500,
lo_col = "grey75",
seed = 1)

dickie-roper/cloudr documentation built on Nov. 4, 2019, 10:31 a.m.