ggvis: Visualise a data set with a ggvis graphic.

In ggvis: Interactive Grammar of Graphics

Visualise a data set with a ggvis graphic.

Description

ggvis is used to turn a dataset into a visualisation, setting up default mappings between variables in the dataset and visual properties. Nothing will be displayed until you add additional layers.

Usage

ggvis(data = NULL, ..., env = parent.frame())

Arguments

data	A data object.
...	Property mappings. If not named, the first two mappings are taken to be x and y. Common properties are x, y, stroke, fill, opacity, shape
env	Environment in which to evaluate properties.

Examples

# If you don't supply a layer, ggvis uses layer_guess() to guess at
# an appropriate type:
mtcars %>% ggvis(~mpg, ~wt)
mtcars %>% ggvis(~mpg, ~wt, fill = ~cyl)
mtcars %>% ggvis(~mpg, ~wt, fill := "red")
mtcars %>% ggvis(~mpg)

# ggvis has a functional interface: every ggvis function takes a ggvis
# an input and returns a modified ggvis as output.
layer_points(ggvis(mtcars, ~mpg, ~wt))

# To make working with this interface more natural, ggvis imports the
# pipe operator from magrittr. x %>% f(y) is equivalent to f(x, y) so
# we can rewrite the previous command as
mtcars %>% ggvis(~mpg, ~wt) %>% layer_points()

# For more complicated plots, add a line break after %>%
mtcars %>%
  ggvis(~mpg, ~wt) %>%
  layer_points() %>%
  layer_smooths()

ggvis documentation built on May 29, 2024, 1:12 a.m.