Man pages for mulgar
Functions for Pre-Processing Data for Multivariate Data Visualisation using Tours
| aflw | AFLW player statistics |
| anomalies | Data sets with anomalies |
| associations | Data sets with different types of association |
| box | 3D plane in 5D |
| bushfires | Australian bushfires 2019-2020 |
| calc_mv_dist | Compute Mahalanobis distances between all pairs of... |
| 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 |
| 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 |
| mulgar-package | mulgar: Functions for Pre-Processing Data for Multivariate... |
| multicluster | Multiple clusters of different sizes, shapes and distance... |
| 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 |
