Function reference • sneezy

All functions
`NonLinearEmbeddingMatrix()`	NonLinearEmbeddingMatrix class
`nleArgs()` `show(<NonLinearEmbeddingParam>)` `tsne_exact()` `tsne_approx()`	Non-linear Embedding Drivers
`TourExperiment()` `show(<TourExperiment>)`	Represent a data.frame or matrix or assay-like object as a `TourExperiment`
`align_embedding()` `rotate_embedding()`	Align/rotate one embedding onto another
`basisSet()` `basisSet<-`() `basisSets()` `basisSets<-`() `basisSetNames()` `basisSetNames<-`()	Access or set the basisSets of a TourExperiment
`compute_half_range()`	Compute range of axes for bases
`embed_linear()`	Compute a linear embedding over a `TourExperiment` object.
`embed_nonlinear()`	Compute a non-linear embedding on a `TourExperiment` object.
`estimate_neighbors()`	Estimate k-nearest neighbours graph from a TourExperiment object
`generate_bases()`	Generate a new basis set via a tour
`generate_sphere()`	Sample from a p-dimensional solid sphere
`pca_exact()` `pca_irlba()` `pca_random()`	Linear Embedding Drivers
`link_left()`	Compose tours side by side
`multi`	Multi-challenge data set: or data that lies in 10 dimensions.
`neighborSet()` `neighborSet<-`() `neighborSets()` `neighborSets<-`() `neighborSetNames()` `neighborSetNames<-`()	Access or set the neighborSets of a TourExperiment
`overlay_knn_centroids()` `overlay_snn_centroids()` `overlay_kmeans_centroids()`	Overlay centroids via k-means or graph-based clustering
`overlay_difference_neighbors()` `overlay_difference_shared_neighbors()` `overlay_intersect_neighbors()` `overlay_intersect_shared_neighbors()`	Overlay a difference/intersection of two neighborSets
`overlay_neighbors()` `overlay_shared_neighbors()`	Overlay a neighborSet onto a set of xy coordinates
`pdfsense`	Parton distribution function sensitivity experiments
`sneezy_centroids()`	Animate a tour path with a centroids overlay
`sneezy_neighbors()`	Animate a tour path with a neighborhood overlay
`sneezy_tour()`	Animate a tour path directly with TourExperiment
`view_tour_xy()`	Project a data set onto a basis set
`view_xy()`	Create a simple interactive scatter-plot

Reference

All functions

Contents