coordinate: Transform between coordinate systems

In jokergoo/spiralize: Visualize Data on Spirals

Transform between coordinate systems

Description

Transform between coordinate systems

Usage

xy_to_cartesian(x, y, track_index = current_track_index())

xy_to_polar(x, y, track_index = current_track_index(), flip = TRUE)

polar_to_cartesian(theta, r)

cartesian_to_polar(x, y)

cartesian_to_xy(x, y, track_index = current_track_index())

Arguments

x	X-locations of the data points.
y	Y-locations of the data points.
track_index	Index of the track.
flip	If it is FALSE, it returns theta for the original spiral (before flipping).
theta	Angles, in radians.
r	Radius.

Details

There are three coordinate systems: the data coordinate system (xy), the polar coordinate system (polar) and the canvas coordinate system (cartesian). The canvas coordinates correspond to the "native" coordinates of the viewport where the graphics are drawn.

Note different settings of flip and reverse in spiral_initialize() affect the conversion.

xy_to_cartesian() converts from the data coordinate system to the canvas coordinate system.

xy_to_polar() converts from the data coordinate system to the polar coordinate system.

polar_to_cartesian() converts from the polar coordinate system to the canvas coordinate system.

cartesian_to_polar() converts from the canvas coordinate system to the polar coordinate system.

cartesian_to_xy() converts from the canvas coordinate system to the data coordinate system. The data points are assigned to the nearest inner spiral loops (if the point is located inside a certain spiral loop, the distance is zero).

Value

xy_to_cartesian() returns A data frame with two columns: x and y.

xy_to_polar() returns a data frame with two columns: theta (in radians) and r (the radius).

polar_to_cartesian() returns a data frame with two columns: x and y.

cartesian_to_polar() returns a data frame with two columns: theta (in radians) and r (the radius).

cartesian_to_xy() returns a data frame with two columns: x and y.

Examples

x = runif(2)
y = runif(2)
spiral_initialize(xlim = c(0, 1))
spiral_track(ylim = c(0, 1))
spiral_points(x, y)
xy_to_cartesian(x, y)
xy_to_polar(x, y)

x = runif(100, -4, 4)
y = runif(100, -4, 4)
spiral_initialize(xlim = c(0, 1))
spiral_track(ylim = c(0, 1))
df = cartesian_to_xy(x, y)
# directly draw in the viewport
grid.points(x, y, default.units = "native")
# check whether the converted xy are correct (should overlap to the previous points)
spiral_points(df$x, df$y, pch = 16, gp = gpar(col = 2))

jokergoo/spiralize documentation built on June 16, 2024, 4:35 a.m.