Create an interactive loon plot widget

l_plot is a generic function for creating interactive visualization environments for R objects.

l_plot(x, y, ...)

Arguments

x

the coordinates of points in the l_plot. Alternatively, a single plotting structure, function, or any R object having an l_plot method can be provided.
y

the y coordinates of points in the l_plot, optional if x is an appropriate structure.
...

named arguments to modify plot states. See l_info_states of any instantiated l_plot for examples of names and values.

Value

widget handle

Details

Like plot in R, l_plot is the generic plotting function for objects in loon. The default method l_plot.default produces the interactive scatterplot in loon. This is the workhorse of `loon` and is often a key part of many other displays (e.g. l_pairs and l_navgraph).

For example, the methods include l_plot.default (the basic interactive scatterplot), l_plot.density (layers output of density in an empty scatterplot), l_plot.map (layers a map in an empty scatterplot), and l_plot.stl (a compound display of the output of stl).

A complete list is had from methods(l_plot).

To get started with loon it is recommended to follow the introductory loon vignette vignette(topic = "introduction", package = "loon") and to explore loon's website accessible via l_help().

The general direct manipulation and interaction gestures are outlined in the following figures. Zooming and Panning Zoom pan gestures Selecting Points/Objects Select gestures Moving Points on the Scatterplot Display Move gestures

See also

l_plot_arguments and l_plot.default.

Other two-dimensional plotting functions: l_plot.decomposed.ts, l_plot.default, l_plot.density, l_plot.stl

Other loon interactive states: l_info_states, l_plot.default, l_state_names, names.loon

Examples

# ordinary use
p <- with(iris, l_plot(Sepal.Width, Petal.Length, color=Species))

versi <- iris$Species == "versicolor"
p["glyph"][versi] <- "ctriangle"

# Get an R (grid) graphics plot of the current loon plot
plot(p)
# or with more control about grid parameters
grid.loon(p)
# or to save the grid data structure (grob) for later use
pg <- loonGrob(p)

# plot a density estimate
set.seed(314159)
ds <- density(rnorm(1000))
p <- l_plot(ds,  title = "density estimate",
            xlabel = "x", ylabel = "density",
            showScales = TRUE)
plot(p)