hcmap {highcharter} | R Documentation |
Shortcut for create map from https://code.highcharts.com/mapdata/ collection.
Description
Shortcut for create map from https://code.highcharts.com/mapdata/ collection.
Usage
hcmap(
map = "custom/world",
download_map_data = getOption("highcharter.download_map_data"),
data = NULL,
value = NULL,
joinBy = NULL,
...
)
Arguments
map |
String indicating what map to chart, a list from https://code.highcharts.com/mapdata/. See examples. |
download_map_data |
A logical value whether to download
(add as a dependency) the map. Default |
data |
Optional data to make a choropleth, in case of use the joinBy and value are needed. |
value |
A string value with the name of the variable to chart. |
joinBy |
What property to join the |
... |
Additional shared arguments for the data series (https://api.highcharts.com/highcharts/series). |
Examples
options(highcharter.download_map_data = TRUE)
# hcmap(nullColor = "#DADADA")
# hcmap(nullColor = "#DADADA", download_map_data = FALSE)
require(dplyr)
data("USArrests", package = "datasets")
USArrests <- mutate(USArrests, "woe-name" = rownames(USArrests))
# hcmap(
# map = "countries/us/us-all", data = USArrests,
# joinBy = "woe-name", value = "UrbanPop", name = "Urban Population"
# )
# download_map_data = FALSE
# hcmap(
# map = "countries/us/us-all", data = USArrests,
# joinBy = "woe-name", value = "UrbanPop", name = "Urban Population",
# download_map_data = FALSE
# )
[Package highcharter version 0.9.4 Index]