echarts4r (version 0.2.0)

e_visual_map: Visual Map

Description

Visual Map

Usage

e_visual_map(e, serie, calculable = TRUE, type = c("continuous",
  "piecewise"), scale = NULL, ...)
e_visual_map_(e, serie = NULL, calculable = TRUE,
  type = c("continuous", "piecewise"), scale = NULL, ...)

Arguments

e

An echarts4r object as returned by e_charts.

serie

Column name of serie to scale against.

calculable

Whether show handles, which can be dragged to adjust "selected range".

type

One of continuous or piecewise.

scale

A function that takes a vector of numeric and returns a vector of numeric of the same length.

...

Any other option to pass, check See Also section.

Scaling function

defaults to e_scale which is a basic function that rescales size between 1 and 20 for that makes for decent sized points on the chart.

See Also

Additional arguments

Examples

# NOT RUN {
mtcars %>% 
  e_charts(mpg) %>% 
  e_scatter(wt, qsec, scale = e_scale) %>% 
  e_visual_map(qsec, scale = e_scale)

v <- LETTERS[1:10]
matrix <- data.frame(
  x = sample(v, 300, replace = TRUE), 
  y = sample(v, 300, replace = TRUE), 
  z = rnorm(300, 10, 1),
  color = rnorm(300, 10, 1),
  size = rnorm(300, 10, 1),
  stringsAsFactors = FALSE
) %>% 
  dplyr::group_by(x, y) %>% 
  dplyr::summarise(
    z = sum(z),
    color = sum(color),
    size = sum(size)
  ) %>% 
  dplyr::ungroup() 
  
matrix %>% 
  e_charts(x) %>% 
  e_scatter_3d(y, z, color, size) %>% 
  e_visual_map(
    z, # scale to z
    inRange = list(symbolSize = c(1, 30)), # scale size
    dimension = 3 # third dimension 0 = x, y = 1, z = 2, size = 3
  ) %>% 
  e_visual_map(
    z, # scale to z
    inRange = list(color = c('#bf444c', '#d88273', '#f6efa6')), # scale colors
    dimension = 4, # third dimension 0 = x, y = 1, z = 2, size = 3, color = 4
    bottom = 300 # padding to avoid visual maps overlap
  )

# }