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The grand tour (D.Asimov) is a mechanism to randomly select a 2D projection in ap column space. Transitions between two serial projections are interpolated so that the rotating motion is smooth. It was first implemented in XGobi, GGobi (D.Cook,D.F.Swayne,A.Buja), then inR (packagetourrH.Wickham,D.Cook and et al.)

In our package, such high dimensional visualization mechanism is re-implemented inloon. A slider bar is provided. As we scroll bar, the data will be transformed from this projection to the next.

loon.tourr can be achieved directly from github repo

remotes::install_github("https://github.com/great-northern-diver/loon.tourr")

Documents: the documentation ofloon.tourr ishere

Colour represents the flea species. A convex hull is created to classify groups easily.

library(loon.tourr)fl <- tourr::flea[, 1:6]p <- l_tour(fl, color = tourr::flea$species)l <- l_layer_hull(p, group = tourr::flea$species)

The bottom radio buttons represent the scaling of the data; if the random projections are not satifying, press buttonReset, new random projections will be created.

Beyond 2 dimensions, higher dimensional tours can also be created (displayed in radial axes, parallel axes or andrews plot).

p <- l_tour(fl,            tour_path = tourr::grand_tour(4),            color = tourr::flea$species)

The future of our project is obscure. It can be an isolated package or be merged inloon as a demo.

The tour plot can be separated by some variables into multiple panels.

p <- l_tour(tourr::olive[, -c(1:2)],            by = tourr::olive$region,            color = tourr::olive$area)

An n-D tour path with a scatter plot matrix.

p <- l_tour_pairs(tourr::olive[, -c(1:2)],                  tour_path = tourr::grand_tour(4),                  color = tourr::olive$area)