visualizeInstance: Visualization of a data instance using a set of barplots

In jaroslav-kuchar/fpmoutliers: Frequent Pattern Mining Outliers

Description

Visualization of a data instance using a set of barplots

Usage

visualizeInstance(data, instanceIndex, bars = 10)

Arguments

data	data.frame with data describing all instances
instanceIndex	index of the instance to visualize
bars	max number of bars to plot, only top lowest and top highest frequencies will be presented

Examples

library("fpmoutliers")
dataFrame <- read.csv(
     system.file("extdata", "fp-outlier-customer-data.csv", package = "fpmoutliers"))
model <- FPI(dataFrame, minSupport = 0.001)
# sort data by the anomaly score
dataFrame <- dataFrame[order(model$scores, decreasing = TRUE),]
visualizeInstance(dataFrame, 1) # instance with the highest anomaly score
visualizeInstance(dataFrame, nrow(dataFrame)) # instance with the lowest anomaly score

jaroslav-kuchar/fpmoutliers documentation built on May 18, 2019, 4:48 p.m.