billboarder (version 0.2.4)

bb_densityplot: Helper for creating a density plot

Description

Helper for creating a density plot

Usage

bb_densityplot(bb, data, mapping = NULL, stacked = FALSE,
  stat = "density", fill = FALSE, ...)

Arguments

bb

A billboard htmlwidget object.

data

A data.frame or a vector, the first column will be used to calculate density if x is NULL.

mapping

Mapping of variables on the chart, see bbaes.

stacked

Logical, create a stacked density plot.

stat

Stat to compute : density or count.

fill

Produce a conditional density estimate, this option force stacked = TRUE.

...

Arguments passed to density.

Value

A billboard htmlwidget object.

See Also

bb_histogram

Examples

# NOT RUN {
# With a vector
billboarder() %>%
  bb_densityplot(data = rnorm(1e4))

data("diamonds", package = "ggplot2")

# density plot with one variable
billboarder() %>% 
  bb_densityplot(data = diamonds, x = "carat")

# Same with mapping
billboarder() %>% 
  bb_densityplot(diamonds, bbaes(carat))

# With a grouping variable
billboarder() %>% 
  bb_densityplot(data = diamonds, x = "depth", group = "cut") %>% 
  bb_x_axis(min = 55, max = 70)

# Same with mapping
billboarder() %>% 
  bb_densityplot(diamonds, bbaes(depth, group = cut)) %>% 
  bb_x_axis(min = 55, max = 70)


# a stacked density plot using count as statistic
bb <- billboarder() %>%
  bb_densityplot(diamonds, bbaes(depth, group = cut),
                 stacked = TRUE, stat = "count") %>%
  bb_x_axis(min = 55, max = 70)
bb

# changing order
bb %>% bb_data(order = "asc")

# }