SONO (version 1.2)

avg_rank_outs: Average Rank Of Outlier

Description

Function computing the average rank of the outliers given a vector with scores of outlyingness.

Usage

avg_rank_outs(scores, outs, ties = "min")

Value

Average rank of outliers.

Arguments

scores

Scores of (nominal) outlyingness. A higher score here implies an observation is more likely to be an outlier.

outs

Vector of outlier indices.

ties

A character string specifying how ties in scores are treated; can be one of "average", "first", "last", "random", "max" or "min".

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)
# Suppose observations 1 up to 5 are outliers
avg_rank_outs(scores = sono_out[[2]][, 2], outs = c(1:5), ties = "min")