Functions for Pre-Processing Data for Multivariate Data Visualisation using Tours

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Documentation for package ‘mulgar’ version 1.0.5

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aflw AFLW player statistics
anomalies Data sets with anomalies
anomaly1 Data sets with anomalies
anomaly2 Data sets with anomalies
anomaly3 Data sets with anomalies
anomaly4 Data sets with anomalies
anomaly5 Data sets with anomalies
assoc1 Data sets with different types of association
assoc2 Data sets with different types of association
assoc3 Data sets with different types of association
associations Data sets with different types of association
box 3D plane in 5D
bushfires Australian bushfires 2019-2020
c1 Cluster challenge data sets
c2 Cluster challenge data sets
c3 Cluster challenge data sets
c4 Cluster challenge data sets
c5 Cluster challenge data sets
c6 Cluster challenge data sets
c7 Cluster challenge data sets
calc_mv_dist Compute Mahalanobis distances between all pairs of observations
calc_norm Calculate the norm of a vector
clusterchallenges Cluster challenge data sets
clusters Three clusters in 5D
clusters_nonlin Four unusually shaped clusters in 4D
convert_proj_tibble This function turns a projection sequence into a tibble
copclayton Data sets generated using copulas
copfrank Data sets generated using copulas
copjoe Data sets generated using copulas
copnorm Data sets generated using copulas
copula Data sets generated using copulas
gen_vc_ellipse Generate points on the surface of an ellipse
gen_xvar_ellipse Ellipse matching data center and variance
ggmcbic Produces an mclust summary plot with ggplot
ggscree This function produces a simple scree plot
ggslice Generate an axis-parallel slice display
ggslice_projection Generate slice display
hierfly Generate a dendrogram to be added to data
mc_ellipse Computes the ellipses of an mclust model
multicluster Multiple clusters of different sizes, shapes and distance from each other
norm_vec Normalise a vector to have length 1
pca_model Create wire frame of PCA model
pisa PISA scores
plane 2D plane in 5D
plane_nonlin Non-linear relationship in 5D
pooled_vc Compute pooled variance-covariance matrix
rmvn Generate a sample from a multivariate normal
simple_clusters Two clusters in 2D
sketches_test Images of sketches for testing
sketches_train Images of sketches for training
som_model Process the output from SOM to display the map and data