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Sometimes you may want to include more complex patterns of interactivity into a plot, for example where interaction with one plot elements triggers changes or appearance / disappearance in a wider group of other plot elements.
In this case you can utilise the ability to group elements in a plot,
so that interaction with any one of the group elements that has been
indicated as interactive with the argument
interactive = TRUE will trigger changes as specified by
highlight in all other plot elements in the same group.
The example below builds up a plot with more complex interactivity based on these principles.
# Set data
x_vals <- iris$Sepal.Length
y_vals <- iris$Sepal.Width
z_vals <- iris$Petal.Length
point_cols <- rainbow(3)[iris$Species]
# Setup plot
data3js <- plot3js(
x = x_vals,
y = y_vals,
z = z_vals,
xlab = "Sepal Length",
ylab = "Sepal Width",
zlab = "Petal Length"
)
# Add points for each point
for (n in seq_along(x_vals)) {
# Set a record of point ids you're going to group
point_ids <- c()
# Add the 3d point
data3js <- points3js(
data3js,
x = x_vals[n],
y = y_vals[n],
z = z_vals[n],
col = point_cols[n],
size = 1,
highlight = list(
size = 2
),
interactive = TRUE
)
point_ids <- c(point_ids, lastID(data3js))
# Add the point on the x- face
data3js <- points3js(
data3js,
x = data3js$lims[[1]][1] + 0.001,
y = y_vals[n],
z = z_vals[n],
col = point_cols[n],
shape = "circle",
size = 1,
opacity = 0.2,
highlight = list(
size = 2,
opacity = 1
),
interactive = TRUE,
depthWrite = FALSE,
rotation = c(0, 90, 0),
face = "x-"
)
point_ids <- c(point_ids, lastID(data3js))
# Add the point on the x+ face
data3js <- points3js(
data3js,
x = data3js$lims[[1]][2] - 0.001,
y = y_vals[n],
z = z_vals[n],
col = point_cols[n],
size = 1,
shape = "circle",
opacity = 0.2,
highlight = list(
size = 2,
opacity = 1
),
interactive = TRUE,
depthWrite = FALSE,
rotation = c(0, 90, 0),
face = "x+"
)
point_ids <- c(point_ids, lastID(data3js))
# Add the line to the x- face
data3js <- lines3js(
data3js,
x = c(data3js$lims[[1]][1], x_vals[n]),
y = c(y_vals[n], y_vals[n]),
z = c(z_vals[n], z_vals[n]),
lwd = 0,
highlight = list(
lwd = 2
),
face = "x-"
)
point_ids <- c(point_ids, lastID(data3js))
# Add the line to the x+ face
data3js <- lines3js(
data3js,
x = c(x_vals[n], data3js$lims[[1]][2]),
y = c(y_vals[n], y_vals[n]),
z = c(z_vals[n], z_vals[n]),
lwd = 0,
highlight = list(
lwd = 2
),
face = "x+"
)
point_ids <- c(point_ids, lastID(data3js))
# Add the point on the y- face
data3js <- points3js(
data3js,
x = x_vals[n],
y = data3js$lims[[2]][1] + 0.001,
z = z_vals[n],
col = point_cols[n],
size = 1,
shape = "circle",
opacity = 0.2,
highlight = list(
size = 2,
opacity = 1
),
interactive = TRUE,
depthWrite = FALSE,
rotation = c(90, 0, 0),
face = "y-"
)
point_ids <- c(point_ids, lastID(data3js))
# Add the point on the y+ face
data3js <- points3js(
data3js,
x = x_vals[n],
y = data3js$lims[[2]][2] - 0.001,
z = z_vals[n],
col = point_cols[n],
size = 1,
shape = "circle",
opacity = 0.2,
highlight = list(
size = 2,
opacity = 1
),
interactive = TRUE,
depthWrite = FALSE,
rotation = c(90, 0, 0),
face = "y+"
)
point_ids <- c(point_ids, lastID(data3js))
# Add the line to the y- face
data3js <- lines3js(
data3js,
x = c(x_vals[n], x_vals[n]),
y = c(data3js$lims[[2]][1], y_vals[n]),
z = c(z_vals[n], z_vals[n]),
lwd = 0,
highlight = list(
lwd = 2
),
face = "y-"
)
point_ids <- c(point_ids, lastID(data3js))
# Add the line to the y+ face
data3js <- lines3js(
data3js,
x = c(x_vals[n], x_vals[n]),
y = c(y_vals[n], data3js$lims[[2]][2]),
z = c(z_vals[n], z_vals[n]),
lwd = 0,
highlight = list(
lwd = 2
),
face = "y+"
)
point_ids <- c(point_ids, lastID(data3js))
# Add the point on the z- face
data3js <- points3js(
data3js,
x = x_vals[n],
y = y_vals[n],
z = data3js$lims[[3]][1] + 0.001,
col = point_cols[n],
size = 1,
shape = "circle",
opacity = 0.2,
highlight = list(
size = 2,
opacity = 1
),
interactive = TRUE,
depthWrite = FALSE,
face = "z-"
)
point_ids <- c(point_ids, lastID(data3js))
# Add the line to the z- face
data3js <- lines3js(
data3js,
x = c(x_vals[n], x_vals[n]),
y = c(y_vals[n], y_vals[n]),
z = c(data3js$lims[[3]][1], z_vals[n]),
lwd = 0,
highlight = list(
lwd = 2
),
face = "z-"
)
point_ids <- c(point_ids, lastID(data3js))
# Add the line to the z+ face
data3js <- lines3js(
data3js,
x = c(x_vals[n], x_vals[n]),
y = c(y_vals[n], y_vals[n]),
z = c(z_vals[n], data3js$lims[[3]][2]),
lwd = 0,
highlight = list(
lwd = 2
),
face = "z+"
)
point_ids <- c(point_ids, lastID(data3js))
# Add the point on the z+ face
data3js <- points3js(
data3js,
x = x_vals[n],
y = y_vals[n],
z = data3js$lims[[3]][2] - 0.001,
col = point_cols[n],
size = 1,
shape = "circle",
opacity = 0.2,
highlight = list(
size = 2,
opacity = 1
),
interactive = TRUE,
depthWrite = FALSE,
face = "z+"
)
point_ids <- c(point_ids, lastID(data3js))
# Now group all the points you've added
data3js <- group3js(data3js, point_ids)
}
# View the plot
r3js(data3js)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.