Functions for Pre-Processing Data for Multivariate Data Visualisation using Tours
Ellipse matching data center and variance
Produces an mclust summary plot with ggplot
This function produces a simple scree plot
Generate slice display
Generate an axis-parallel slice display
Data sets with anomalies
Data sets with different types of association
Compute Mahalanobis distances between all pairs of observations
Calculate the norm of a vector
Cluster challenge data sets
This function turns a projection sequence into a tibble
Data sets generated using copulas
Generate points on the surface of an ellipse
Generate a dendrogram to be added to data
Computes the ellipses of an mclust model
mulgar: Functions for Pre-Processing Data for Multivariate Data Visual...
Normalise a vector to have length 1
Create wire frame of PCA model
Compute pooled variance-covariance matrix
Generate a sample from a multivariate normal
Process the output from SOM to display the map and data
This is a companion to the book Cook, D. and Laa, U. (2023) <https://dicook.github.io/mulgar_book/> "Interactively exploring high-dimensional data and models in R". by Cook and Laa. It contains useful functions for processing data in preparation for visualising with a tour. There are also several sample data sets.
Useful links