Functions and Data Sets for "That's Weird: Anomaly Detection Using R" by Rob J Hyndman

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Documentation for package ‘weird’ version 3.0.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

air_quality	Air quality data for 12 Beijing monitoring stations from 2013 to 2017
augment.Pca	Augment data with results from a robust principal component analysis
biplot_projection	Biplot of a two-dimensional projection
chauvenet_anomalies	Anomalies according to Peirce's and Chauvenet's criteria
cricket_batting	Cricket batting data for international test players
density_df	Convert distributional object to a data frame
dist_density	Create distributional object based on a specified density
dist_kde	Create distributional object based on a kernel density estimate
dist_mclust	Convert Gaussian mixture model to a distributional object
dixon_anomalies	Statistical tests for anomalies using Grubbs' test and Dixon's test
fetch_air_quality	Air quality data for 12 Beijing monitoring stations from 2013 to 2017
fetch_wine_reviews	Wine prices and points
fr_mortality	French mortality rates by age and sex
gg_bagplot	Bagplot
gg_density	Produce ggplot of densities from distributional objects in 1 or 2 dimensions
gg_hdrboxplot	HDR plot
glosh_scores	GLOSH scores
grubbs_anomalies	Statistical tests for anomalies using Grubbs' test and Dixon's test
gun_deaths	Gun ownership and homicide rates by country
hampel_anomalies	Identify anomalies using the Hampel filter
hdr_table	Table of Highest Density Regions
kde_bandwidth	Robust bandwidth estimation for kernel density estimation
lof_scores	Local outlier factors
mvscale	Compute robust multivariate scaled data
n01	Multivariate standard normal data
oldfaithful	Old faithful eruption data
outlier_map	Outlier map from a projection or principal component analysis
peirce_anomalies	Anomalies according to Peirce's and Chauvenet's criteria
stray_anomalies	Stray anomalies
stray_scores	Stray scores
surprisals	Surprisals and surprisal probabilities
surprisals.data.frame	Surprisals and surprisal probabilities computed from data
surprisals.gam	Surprisals and surprisal probabilities computed from a model
surprisals.glm	Surprisals and surprisal probabilities computed from a model
surprisals.lm	Surprisals and surprisal probabilities computed from a model
surprisals.matrix	Surprisals and surprisal probabilities computed from data
surprisals.numeric	Surprisals and surprisal probabilities computed from data
surprisals_prob	Surprisals and surprisal probabilities
surprisals_prob.data.frame	Surprisals and surprisal probabilities computed from data
surprisals_prob.gam	Surprisals and surprisal probabilities computed from a model
surprisals_prob.glm	Surprisals and surprisal probabilities computed from a model
surprisals_prob.lm	Surprisals and surprisal probabilities computed from a model
surprisals_prob.matrix	Surprisals and surprisal probabilities computed from data
surprisals_prob.numeric	Surprisals and surprisal probabilities computed from data
wine_reviews	Wine prices and points