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GitHub - rstudio/dygraphs: R interface to dygraphs
R interface to dygraphs. Contribute to rstudio/dygraphs development by creating an account on GitHub.
Visit SiteGitHub - rstudio/dygraphs: R interface to dygraphs
R interface to dygraphs. Contribute to rstudio/dygraphs development by creating an account on GitHub.
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dygraphs for R
The dygraphs package is an R interface to the dygraphs JavaScript charting library. It provides rich facilites for charting time-series data in R, including:
- Automatically plots xts time series objects (or any object convertible to xts).
- Highly configurable axis and series display (including optional second Y-axis).
- Rich interactive features including zoom/pan and series/point highlighting.
- Display upper/lower bars (e.g. prediction intervals) around series.
- Various graph overlays including shaded regions, event lines, and point annotations.
- Use at the R console just like conventional R plots (via RStudio Viewer).
- Seamless embedding within R Markdown documents and Shiny web applications.
Installation
The dygraphs package depends on the development version of the htmlwidgets package so you need to install both packages. You can do this using the devtools package as follows:
devtools::install_github(c("ramnathv/htmlwidgets", "rstudio/dygraphs"))
Usage
If you have an xts-compatible time-series object creating an interactive plot of it is as simple as this:
dygraph(nhtemp, main = "New Haven Temperatures")
You can also further customize axes and series display as well as add interacitve features like a range selector:
dygraph(nhtemp, main = "New Haven Temperatures") %>%
dyAxis("y", label = "Temp (F)", valueRange = c(40, 60)) %>%
dyOptions(fillGraph = TRUE, drawGrid = FALSE) %>%
dyRangeSelector()
See the online documentation for the dygraphs package for additional details and examples.
R Programming Resources
are all listed below.
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