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

## Documentation for package ‘weird’ version 3.0.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## 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