lares (version 5.0.0)

plot_chord: Chords Plot

Description

This auxiliary function plots discrete and continuous values results

This auxiliary function plots discrete and continuous values results

Usage

plot_chord(
  origin,
  dest,
  weight = 1,
  mg = 3,
  title = "Chord Diagram",
  subtitle = "",
  pal = NA
)
plot_chord(
  origin,
  dest,
  weight = 1,
  mg = 3,
  title = "Chord Diagram",
  subtitle = "",
  pal = NA
)

Arguments

origin, dest

Vectors. Origin and destination vectors

weight

Vector. Weight for each chord.

mg

Numeric. Margin adjust for plot in case of need

title

Character. Title for the plot

subtitle

Character. Subtitle for the plot

pal

Vector. Colour pallete. Order matters.

Value

chordDiagram object

chordDiagram object

See Also

Other Visualization: distr(), freqs_df(), freqs_list(), freqs_plot(), freqs(), gg_bars(), gg_pie(), noPlot(), plot_survey(), plot_timeline(), theme_lares(), tree_var()

Other Visualization: distr(), freqs_df(), freqs_list(), freqs_plot(), freqs(), gg_bars(), gg_pie(), noPlot(), plot_survey(), plot_timeline(), theme_lares(), tree_var()

Examples

# NOT RUN {
# You must have "circlize" library to use this auxiliary function:
# }
# NOT RUN {
df <- data.frame(from = c(1, 1, 2, 3, 4, 1, 6), to = c(4, 4, 4, 2, 2, NA, NA))
plot_chord(df$from, df$to)
# }
# NOT RUN {
# You must have "circlize" library to use this auxiliary function:
# }
# NOT RUN {
df <- data.frame(from = c(1, 1, 2, 3, 4, 1, 6), to = c(4, 4, 4, 2, 2, NA, NA))
plot_chord(df$from, df$to)
# }