helix | R Documentation |
Simulation data in the shape of a 3D toroidal helix.
helix(n = 1000, rmajor = 2, rminor = 1, nwinds = 8)
n |
Number of points to create. |
rmajor |
Major radius. |
rminor |
Minor radius. |
nwinds |
Number of winds the helix makes. |
Creates a series of points sampled from a 3D helix with the ends joined to each other.
Unlike ball
and sphere
, this data set is not
randomly sampled.
Points are colored based on their distances from the origin.
Data frame with x
, y
, z
columns containing the
coordinates of the points and color
the RGB color.
A dataset like this was used in: Lee, J. A., Peluffo-Ordo'nez, D. H., & Verleysen, M. (2015). Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure. Neurocomputing, 169, 246-261.
## Not run:
helix1000 <- helix(n = 1000)
# Coloring should be obvious with a 2D plot of the cross section:
plot(helix1000$x, helix1000$y, col = helix1000$color, pch = 20)
## End(Not run)
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