Plot DISTATIS Object and Assessor Maps

Plot DISTATIS Object and Assessor Maps

Usage

# S3 method for class 'distatis'
plot(
  x,
  dims = c(1, 2),
  type = c("objects", "subjects", "roi"),
  labels = FALSE,
  col = NULL,
  pch = 19,
  cex = 1,
  main = NULL,
  ...
)

# S3 method for class 'distatis'
autoplot(
  object,
  dims = c(1, 2),
  type = c("objects", "subjects", "roi"),
  labels = FALSE,
  color = NULL,
  alpha = 0.8,
  size = 2,
  ...
)

# S3 method for class 'distatis'
plot_partial_scores(
  x,
  dims = c(1, 2),
  blocks = NULL,
  connect = TRUE,
  show_consensus = TRUE,
  alpha = 0.6,
  ...
)

# S3 method for class 'distatis'
plot_block_weights(x, ...)

# S3 method for class 'distatis'
plot_block_similarity(x, method = c("RV", "RV2"), ...)

Arguments

x, object

A fitted distatis model.

dims

Two distinct retained axes in the chosen map. Each map has its own rank.

type

"objects" (alias "roi") for the compromise map, or "subjects" for the assessor principal coordinates in RV space.

labels

Logical; show object or assessor labels?

col, pch, cex, main

Base graphics point color, symbol, size, and title.

...

Further arguments passed to base graphics, or unused by autoplot.

color, alpha, size

ggplot point colors, opacity, and size.

blocks

Optional integer indices of assessors included in the partial map.

connect, show_consensus

Connect partial points to the compromise and show compromise points?

method

Similarity measure. Only "RV" is supported for DISTATIS.

Value

plot() invisibly returns the displayed coordinates; autoplot() returns a ggplot. Axis percentages use the complete spectrum of the chosen map, including axes not retained in the scores.

See also

distatis(), plot_partial_scores(), plot_block_weights(), plot_block_similarity(), plot_variance()