geom_point_z
geom_point_z
renders points as circles by representing them as n-sided polygons. By setting the npolys
parameters, the user can control the fidelity of the circle representation.
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Create plot with geom_point_z
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
func_df <- expand.grid(x = seq(-6, 6, 0.2), y=seq(-6, 6, 0.2)) %>%
mutate(
z = sin(sqrt(x*x + y*y))
)
p <- ggplot(func_df) +
geom_point_z(aes(x, y, z = z, colour = z), extrude = FALSE,
extrude_face_alpha = 0.1, size = 3, npolys = 3) +
labs(
title = "ggrgl::geom_point_z()",
subtitle = "with {devoutrgl}"
) +
theme_ggrgl() +
scale_colour_viridis_c() +
coord_equal() +
theme(legend.position = 'none')
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Render Plot in 3d with {devoutrgl}
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
devoutrgl::rgldev(fov = 30, view_angle = -30)
p
invisible(dev.off())
Use your mouse, mouse buttons and scrollwheel to manipulate the 3d plot
geom_point_z
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Create plot with geom_point_z
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
N <- 100
spiral_df <- data.frame(zl = seq(0, 30, length.out = N)) %>%
mutate(
xl = sin(zl),
yl = cos(zl),
xp = xl + rnorm(N) * 0.05,
yp = yl + rnorm(N) * 0.05,
zp = zl + rnorm(N) * 0.05
)
p <- ggplot(spiral_df) +
geom_path_3d(aes(xl, yl, z = zl), alpha = 0.3) +
geom_point_z(aes(xp, yp, z = zp, colour = zp), size = 6) +
labs(
title = "ggrgl::geom_point_z()",
subtitle = "with {devoutrgl}"
) +
theme_ggrgl() +
theme(legend.position = 'none') +
coord_equal()
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Render Plot in 3d with {devoutrgl}
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
devoutrgl::rgldev(fov = 30, view_angle = -30, zscale = 2)
p
invisible(dev.off())
Use your mouse, mouse buttons and scrollwheel to manipulate the 3d plot