R: Create interactive polygons

geom_polygon_interactive {ggiraph} | R Documentation

## Create interactive polygons

### Description

The geometry is based on `geom_polygon()`. See the documentation for those functions for more details.

### Usage

    geom_polygon_interactive(...)

### Arguments

`...` | arguments passed to base function, plus any of the `interactive_parameters()`.

### Details for geom_*_interactive functions

The interactive parameters can be supplied with two ways:

- As aesthetics with the mapping argument (via `aes()`). In this way they can be mapped to data columns and apply to a set of geometries.

- As plain arguments into the geom_*_interactive function. In this way they can be set to a scalar value.

### See Also

`girafe()`

### Examples

    # add interactive polygons to a ggplot -------
    library(ggplot2)
    library(ggiraph)

    # create data
    ids <- factor(c("1.1", "2.1", "1.2", "2.2", "1.3", "2.3"))

    values <- data.frame(
    	id = ids,
    	value = c(3, 3.1, 3.1, 3.2, 3.15, 3.5) )
    positions <- data.frame(
    	id = rep(ids, each = 4),
    	x = c(2, 1, 1.1, 2.2, 1, 0, 0.3, 1.1, 2.2, 1.1, 1.2, 2.5, 1.1, 0.3,
    		0.5, 1.2, 2.5, 1.2, 1.3, 2.7, 1.2, 0.5, 0.6, 1.3),
    	y = c(-0.5, 0, 1, 0.5, 0, 0.5, 1.5, 1, 0.5, 1, 2.1, 1.7, 1, 1.5,
    		2.2, 2.1, 1.7, 2.1, 3.2, 2.8, 2.1, 2.2, 3.3, 3.2) )

    datapoly <- merge(values, positions, by=c("id"))

    datapoly$oc = "alert(this.getAttribute(\"data-id\"))"

    # create a ggplot -----
    gg_poly_1 <- ggplot(datapoly, aes( x = x, y = y ) ) +
    	geom_polygon_interactive(aes(fill = value, group = id,
    		tooltip = value, data_id = value, onclick = oc))

    # display ------
    x <- girafe(ggobj = gg_poly_1)
    if( interactive() ) print(x)

    if (packageVersion("grid") >= "3.6") {
      # As of R version 3.6 geom_polygon() supports polygons with holes
      # Use the subgroup aesthetic to differentiate holes from the main polygon

      holes <- do.call(rbind, lapply(split(datapoly, datapoly$id), function(df) {
        df$x <- df$x + 0.5 * (mean(df$x) - df$x)
        df$y <- df$y + 0.5 * (mean(df$y) - df$y)
        df
      }))
      datapoly$subid <- 1L
      holes$subid <- 2L
      datapoly <- rbind(datapoly, holes)
      p <- ggplot(datapoly, aes(x = x, y = y)) +
        geom_polygon_interactive(aes(fill = value, group = id, subgroup = subid,
                                     tooltip = value, data_id = value, onclick = oc))
      x <- girafe(ggobj = p)
      if( interactive() ) print(x)
    }

[Package ggiraph version 0.7.9 Index]