vis_contribs: Visualise Contribution Matrix

In SONO: Scores of Nominal Outlyingness (SONO)

Visualise Contribution Matrix

Description

Function producing a visualisation of the matrix of variable contributions. The user can choose to plot just a subset of the data (for instance the outliers), as well as scale the scores if needed.

Arguments

contribs_mat	Matrix of variable contributions. Must be of class data.frame with as many columns as the number of variables and rows representing the observations.
subset	Subset of observations for which the variable contribution matrix will be plotted.
scale	Optional scaling parameter; defaults to "none" for no scaling. Possible options are "row", with each row being divided by its sum or "max", where each element of the matrix is divided by the maximum element.

Value

Plot

Examples

dt <- as.data.frame(sample(c(1:2), 100, replace = TRUE, prob = c(0.5, 0.5)))
dt <- cbind(dt, sample(c(1:3), 100, replace = TRUE, prob = c(0.5, 0.3, 0.2)))
dt[, 1] <- as.factor(dt[, 1])
dt[, 2] <- as.factor(dt[, 2])
colnames(dt) <- c('V1', 'V2')
sono_out <- sono(data = dt,
probs = list(c(0.5, 0.5), c(1/3, 1/3, 1/3)),
alpha = 0.01,
r = 2,
MAXLEN = 0,
frequent = FALSE)
vis_contribs(contribs_mat = sono_out[[3]], subset = c(1:50), scale = "row")

SONO documentation built on April 12, 2025, 1:13 a.m.