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CONTRIBUTING.md

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@@ -3,7 +3,7 @@ We welcome contributions to the **ggvis** package. To submit a contribution:
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1. [Fork](https://github.com/rstudio/ggvis/fork) the repository and make your changes.
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2. Ensure that you have signed the [individual](http://www.rstudio.com/wp-content/uploads/2014/06/RStudioIndividualContributorAgreement.pdf) or [corporate](http://www.rstudio.com/wp-content/uploads/2014/06/RStudioCorporateContributorAgreement.pdf) contributor agreement as appropriate. You can send the signed copy to jj@rstudio.com.
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2. Ensure that you have signed the [individual](https://www.rstudio.com/wp-content/uploads/2014/06/RStudioIndividualContributorAgreement.pdf) or [corporate](https://www.rstudio.com/wp-content/uploads/2014/06/RStudioCorporateContributorAgreement.pdf) contributor agreement as appropriate. You can send the signed copy to jj@rstudio.com.
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3. Submit a [pull request](https://help.github.com/articles/using-pull-requests).
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DESCRIPTION

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comment = "jQuery UI library; authors listed in inst/www/lib/jquery-ui/AUTHORS.txt"),
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person("Mike", "Bostock", role = c("ctb", "cph"), comment = "D3 library"),
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person(family = "D3 contributors", role = "ctb",
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comment = "D3 library; authors listed at https://github.com/mbostock/d3/graphs/contributors"),
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comment = "D3 library; authors listed at https://github.com/d3/d3/graphs/contributors"),
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person(family = "Trifacta Inc.", role = "cph",
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comment = "Vega library"),
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person(family = "Vega contributors", role = "ctb",
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comment = "Vega library; authors listed at https://github.com/trifacta/vega/graphs/contributors"),
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person("Sebastián", "Décima", role = c("ctb", "cph"),
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comment = "javascript-detect-element-resize library")
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)
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URL: http://ggvis.rstudio.com/
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URL: https://ggvis.rstudio.com/
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Depends:
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R (>= 3.0)
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Imports:

LICENSE

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- jQuery, https://github.com/jquery/jquery
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- jQuery UI (some components), https://github.com/jquery/jquery-ui
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- D3, https://github.com/mbostock/d3
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- D3, https://github.com/d3/d3
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- Vega, https://github.com/trifacta/vega
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- javascript-detect-element-resize, https://github.com/sdecima/javascript-detect-element-resize
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R/guide_axis.R

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#' @param title_offset The offset (in pixels) from the axis at which to place
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#' the title.
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#' @param format The formatting pattern for axis labels. Vega uses D3's format
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#' pattern: \url{https://github.com/mbostock/d3/wiki/Formatting}
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#' pattern.
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#' @param ticks A desired number of ticks. The resulting number may be different
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#' so that values are "nice" (multiples of 2, 5, 10) and lie within the
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#' underlying scale's range.

R/guide_legend.R

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#' @param title A title for the legend. By default, it uses the name the fields
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#' used in the legend. Use \code{""} to suppress the title.
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#' @param format The formatting pattern for axis labels. Vega uses D3's format
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#' pattern: \url{https://github.com/mbostock/d3/wiki/Formatting}
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#' pattern.
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#' @param values Explicitly set the visible legend values.
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#' @param properties Optional mark property definitions for custom legend
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#' styling. Should be an object created by \code{\link{legend_props}}, with

R/handle_keyboard.R

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#' was pressed. The second is the current value of the reactive.
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#'
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#' The keyboard event handling in ggvis is implemented with
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#' \href{mousetrap}{http://craig.is/killing/mice}, so you can specify keys
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#' \href{mousetrap}{https://craig.is/killing/mice}, so you can specify keys
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#' like \code{c("C", "Shift + X", "F2", "up"))}.
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#'
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#' Also, unlike inputs, keyboard events add no HTML controls, but they do add

R/scales.R

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#' according to their natural order. Default is \code{FALSE}.
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#' @seealso \code{\link{scales}}, \code{\link{scale_numeric}},
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#' \url{https://github.com/trifacta/vega/wiki/Scales#ordinal-scale-properties},
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#' \url{https://github.com/mbostock/d3/wiki/Ordinal-Scales}
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#' \url{https://github.com/d3/d3/wiki/Ordinal-Scales}
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#' @family scales
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#' @export
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#' @examples

README.md

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ggvis is currently dormant. We fundamentally believe in the ideas that underlie ggvis: reactive programming is the right foundation for interactive visualisation. However, we are not currently working on ggvis because we do not see it as the most pressing issue for the R community as you can only use interactive graphics once you've successfuly tackled the rest of the data analysis process.
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We hope to come back to ggvis in the future; in the meantime you might want to try out [plotly](https://plot.ly/ggplot2/getting-started/) or creating inteactive graphics [with shiny](https://blog.rstudio.com/2015/06/16/shiny-0-12-interactive-plots-with-ggplot2/).
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We hope to come back to ggvis in the future; in the meantime you might want to try out [plotly](https://plotly.com/ggplot2/getting-started/) or creating inteactive graphics [with shiny](https://blog.rstudio.com/2015/06/16/shiny-0-12-interactive-plots-with-ggplot2/).
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## Introduction
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The goal of ggvis is to make it easy to describe interactive web graphics in
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R. It combines:
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* a grammar of graphics from [ggplot2](http://github.com/hadley/ggplot2),
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* a grammar of graphics from [ggplot2](https://github.com/tidyverse/ggplot2),
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* reactive programming from [shiny](http://github.com/rstudio/shiny), and
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* reactive programming from [shiny](https://github.com/rstudio/shiny), and
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* data transformation pipelines from [dplyr](http://github.com/hadley/dplyr).
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* data transformation pipelines from [dplyr](https://github.com/tidyverse/dplyr).
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ggvis graphics are rendered with [vega](https://github.com/trifacta/vega), so you can generate both raster graphics with [HTML5 canvas](http://diveintohtml5.info/canvas.html) and vector graphics with
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[svg](http://en.wikipedia.org/wiki/Scalable_Vector_Graphics). ggvis is less flexible than raw [d3](http://d3js.org/) or vega, but is much more succinct and is tailored to the needs of exploratory data analysis.
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ggvis graphics are rendered with [vega](https://github.com/trifacta/vega), so you can generate both raster graphics with [HTML5 canvas](https://diveintohtml5.info/canvas.html) and vector graphics with
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[svg](https://en.wikipedia.org/wiki/Scalable_Vector_Graphics). ggvis is less flexible than raw [d3](https://d3js.org/) or vega, but is much more succinct and is tailored to the needs of exploratory data analysis.
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If you find a bug, please file a minimal reproducible example at http://github.com/rstudio/ggvis/issues. If you're not sure if something is a bug, you'd like to discuss new features or have any other questions about ggvis, please join us on the mailing list: https://groups.google.com/group/ggvis.
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If you find a bug, please file a minimal reproducible example at https://github.com/rstudio/ggvis/issues. If you're not sure if something is a bug, you'd like to discuss new features or have any other questions about ggvis, please join us on the mailing list: https://groups.google.com/group/ggvis.
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## Installation
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mtcars %>% ggvis(~mpg, ~wt) %>% layer_points()
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```
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The vignettes, available from http://ggvis.rstudio.com/, provide many more details. Start with the introduction, then work your way through the more advanced topics. Also check out the
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The vignettes, available from https://ggvis.rstudio.com/, provide many more details. Start with the introduction, then work your way through the more advanced topics. Also check out the
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various demos in the `demo/` directory. See the basics in `demo/scatterplot.r`
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then check out the the coolest demos, `demo/interactive.r` and `demo/tourr.r`.

man/add_axis.Rd

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