plot_scatter_int: Scatter Plot for Interval-valued Data

In AIDA: Analysis of Interval DAta

Scatter Plot for Interval-valued Data

Description

Create a scatter plot for interval-valued symbolic data, visualizing the symbolic data as rectangles or crosses, with the first two variables on the x and y axes. The function allows customization of colors, fill colors, and outlier representation.

Usage

plot_scatter_int(
  data,
  type = c("rectangles", "crosses", "crosses2"),
  palette = rainbow(nrow(data)),
  fill_col = "gray50",
  is_outlier = NULL,
  ...
)

Arguments

data	An intData object containing the macrodata/interval data. The first two variables are used for the x and y axes.
type	The type of plot to generate: "rectangles", "crosses" or "crosses2". Default is "rectangles".
palette	A vector with colors for each observation. Default is rainbow(nrow(data)).
fill_col	If type="rectangles", a vector with colors for the fill of each observation, or a single color for all observations. Default is "gray50".
is_outlier	A vector with logical values indicating if the observation is an outlier or not. It makes the line width of the outlying observations thicker. Default is NULL.
...	Additional graphical parameters.

Value

A scatter plot is drawn in the graphic window. The scatter plot shows the symbolic data as rectangles or crosses, with the first two variables on the x and y axes.

Examples

data(creditcard)
credit_card_int <- creditcard$intData

plot_scatter_int(credit_card_int[, c(3, 5)])

# Alternatively, highlight outliers in the scatter plot
# Compute robust distances using IMCD estimates of mean and covariance
credit_card_dist <- IMah_dist(credit_card_int)

# Detect outliers using farness cutoff
credit_card_outliers <- int_outliers(credit_card_dist, "farness", 0.9)

outliers_colors <- rep('gray50', credit_card_int@NObs)
names(outliers_colors) <- rownames(credit_card_int)
outliers_colors[credit_card_outliers$outliers_names] = 'red'

plot_scatter_int(credit_card_int[, c(3, 5)], 
            palette = outliers_colors, 
            is_outlier = credit_card_outliers$is_outlier)

AIDA documentation built on Nov. 4, 2026, 9:06 a.m.