You can install the dygraphs package from CRAN as follows:
You can use dygraphs at the R console, within R Markdown documents, and within Shiny applications. See the usage documentation linked to from the sidebar for more details. There are a few demos of dygraphs below as well as quite a few others in the gallery of examples.
Here’s a simple dygraph created from a multiple time series object:
library(dygraphs) lungDeaths <- cbind(mdeaths, fdeaths) dygraph(lungDeaths)
Note that this graph is fully interactive: as your mouse moves over the series individual values are displayed. You can also select regions of the graph to zoom into (double-click zooms out).
You can customize dygraphs by piping additional commands onto the original dygraph object. Here we pipe a
dyRangeSelector onto our original graph:
dygraph(lungDeaths) %>% dyRangeSelector()
Note that this example uses the
%>% (or “pipe”) operator from the magrittr package to compose the dygraph with the range selector. You use a similar syntax to customize axes, series, and other options. For example:
dygraph(lungDeaths) %>% dySeries("mdeaths", label = "Male") %>% dySeries("fdeaths", label = "Female") %>% dyOptions(stackedGraph = TRUE) %>% dyRangeSelector(height = 20)
Many options for customizing series and axis display are available. It’s even possible to combine multiple lower/value/upper style series into a single display with shaded bars. Here’s an example that illustrates shaded bars, specifying a plot title, suppressing the drawing of the grid for the x axis, and the use of a custom palette for series colors:
hw <- HoltWinters(ldeaths) predicted <- predict(hw, n.ahead = 72, prediction.interval = TRUE) dygraph(predicted, main = "Predicted Lung Deaths (UK)") %>% dyAxis("x", drawGrid = FALSE) %>% dySeries(c("lwr", "fit", "upr"), label = "Deaths") %>% dyOptions(colors = RColorBrewer::brewer.pal(3, "Set1"))
The Gallery linked to from the sidebar includes many more examples of the various features available to customize dygraphs.