highcharter
?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:
hchart(x)
you can chart data.frames
, numeric
or character
vectors, ts
, xts
, forecast
, survfit
objects.xts
class from the {quantmod} package.geojson
format.let us start start with a simple example using hchart
function.
library(highcharter)
# install.packages("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 the
forecast` class from the {forecast} package.
library(forecast)
airforecast <- forecast(auto.arima(AirPassengers), level = 95)
hchart(airforecast)
With highcharter you can use the highstock library which include sophisticated navigation options like_
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")
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"
)