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

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

## Documentation for package ‘mulgar’ version 1.0.5

- DESCRIPTION file
- Package NEWS

## Help Pages

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