ggvis (version 0.3.0.1)

layer_densities: Transformation: density estimate

Description

transform_density is a data transformation that computes a kernel density estimate from a dataset. layer_density combines transform_density with mark_path and mark_area to display a smooth line and its standard errror.

Usage

layer_densities(vis, ..., kernel = "gaussian", adjust = 1,
  density_args = list(), area = TRUE)

Arguments

vis

The visualisation to modify

...

Visual properties, passed on to props.

adjust

Multiple the default bandwidth by this amount. Useful for controlling wiggliness of density.

density_args

Other arguments passed on to compute_density and thence to density.

area

Should there be a shaded region drawn under the curve?

kernel

Smoothing kernel. See density for details.

Examples

# Basic density estimate
faithful %>% ggvis(~waiting) %>% layer_densities()
faithful %>% ggvis(~waiting) %>% layer_densities(area = FALSE)

# Control bandwidth with adjust
faithful %>% ggvis(~waiting) %>% layer_densities(adjust = .25)
faithful %>% ggvis(~waiting) %>%
  layer_densities(adjust = input_slider(0.1, 5))

# Control stroke and fill
faithful %>% ggvis(~waiting) %>%
  layer_densities(stroke := "red", fill := "red")

# With groups
PlantGrowth %>% ggvis(~weight, fill = ~group) %>% group_by(group) %>%
  layer_densities()
PlantGrowth %>% ggvis(~weight, stroke = ~group) %>% group_by(group) %>%
  layer_densities(strokeWidth := 3, area = FALSE)