h|1i|0g|3h|2c|1h|2a|1r|3t|2e|1r|2{rpackage}

Highcharter is a R wrapper for Highcharts javascript library and its modules. Highcharts is very flexible and customizable javascript charting library and it has a great and powerful API.

The main features of highcharter are:

  • Chart various R objects with one function: with hchart(x) you can chart data.frames, numeric or character vectors, ts, xts, forecast, survfit objects.
  • Support Highstock You can create a candlestick charts in 2 lines of code. Support xts class from the {quantmod} package.
  • Support Highmaps Create choropleth charts or add information in geojson format.
  • Themes: you configure your chart in multiples ways. There are implemented themes like economist, financial times, google, 538 among others.
  • A lot of features and plugins: motion, draggable points, font-awesome, tooltips, annotations.

Highcharts

let us start start with a simple example using hchart function.

library(highcharter)
# remotes::install_github("allisonhorst/palmerpenguins")
data(penguins, package = "palmerpenguins")

hchart(penguins, "scatter", hcaes(x = flipper_length_mm, y = bill_length_mm, group = species))

Among its features highcharter can chart various objects depending of its class with the generic (magic) hchart function.

x <- c(rnorm(10000), rnorm(1000, 4, 0.5))

hchart(x, name = "data")

One of the nicest class which hchart can plot is theforecast` class from the {forecast} package.

library(forecast)

airforecast <- forecast(auto.arima(AirPassengers), level = 95)

hchart(airforecast)

Highstock

With highcharter you can use the highstock library which include sophisticated navigation options like_

  • Small navigator series
  • Preset date ranges
  • Date picker
  • Scrolling and panning.

With highcarter it is easy make candlesticks or ohlc charts using time series data. For example, using data from quantmod package.

library(quantmod)

x <- getSymbols("GOOG", auto.assign = FALSE)
y <- getSymbols("AMZN", auto.assign = FALSE)

highchart(type = "stock") %>% 
   hc_add_series(x) %>% 
   hc_add_series(y, type = "ohlc")

Highmaps

We can chart maps elements and choropleth using the highmaps and build interactive maps to display data linked to geographic objects.

data(GNI2014, package = "treemap")

hcmap(
  "custom/world-robinson-lowres", 
  data = GNI2014,
  name = "Gross national income per capita", 
  value = "GNI",
  borderWidth = 0,
  nullColor = "#d3d3d3",
  joinBy = c("iso-a3", "iso3")
  ) %>%
  hc_colorAxis(
    stops = color_stops(colors = viridisLite::inferno(10, begin = 0.1)),
    type = "logarithmic"
    )

Installation

CRAN version:

install.packages("highcharter")

Development version:

remotes::install_github("jbkunst/highcharter")

How to start

There are a lot of vignettes to show how highcharter works and what you can do:

Licence

Highcharter has a dependency on Highcharts, a commercial JavaScript charting library. Highcharts offers both a commercial license as well as a free non-commercial license. Please review the licensing options and terms before using this software, as the highcharter license neither provides nor implies a license for Highcharts.

Highcharts (https://highcharts.com) is a Highsoft product which is not free for commercial and Governmental use.

Discount for highcharter users

Highsoft provide a discount to the highcharter users. It is a 50% discount on our Single Developer license. More details in https://newsletter.highcharts.com/foss/.