在ggplot2可视化文件中超链接文本 [英] Hyperlinking text in a ggplot2 visualization

问题描述

当前，如果我想在R中的表中显示数据，我可以通过markdown，html href或LaTeX href超链接文本.通常可以很好地访问有关特定元素的更多信息，而又不会使表格混乱.

Currently if I want to show data in a table in R I can hyperlink text via markdown, html href, or LaTeX href. This is often nice for giving access to more info about a particular element w/o cluttering the table.

如何在使用ggplot2制作的可视化文件中提供相同类型的超链接文本?

例如，如果我绘制此图:

So for example if I make this plot:

使用下面的代码，如何使轴文本超链接到对应的Wikipedia页面?

With the code below, how can I make the axis text hyperlink to the wikipedia pages that correspond?

library(tidyverse)

mtcars %>%
    rownames_to_column('car') %>%
    slice(5:8) %>%
    mutate(
        link = c(
            'https://de.wikipedia.org/wiki/AMC_Hornet', 
            'https://en.wikipedia.org/wiki/Plymouth_Valiant',
            'https://en.wikipedia.org/wiki/Plymouth_Duster',
            'https://en.wikipedia.org/wiki/Mercedes-Benz_W123'
        )
    ) %>%
    ggplot(aes(x = mpg, y = car)) +
        geom_point(size = 2)

推荐答案

@ user20650这是一个'gridSVG'解决方案:

@user20650 Here is a 'gridSVG' solution:

library(tidyverse)

links <- c('https://en.wikipedia.org/wiki/Plymouth_Duster',
           'https://de.wikipedia.org/wiki/AMC_Hornet', 
           'https://en.wikipedia.org/wiki/Mercedes-Benz_W123',
           'https://en.wikipedia.org/wiki/Plymouth_Valiant')

mtcars %>%
    rownames_to_column('car') %>%
    slice(5:8) %>%
    mutate(
        link = links
    ) %>%
    ggplot(aes(x = mpg, y = car)) +
        geom_point(size = 2)


library(grid)
## Force 'grid' grobs from 'ggplot2' plot
grid.force()
## List all grobs in plot
grid.ls()
## Find the grobs representing the text labels on the axes
tickLabels <- grid.grep("axis::text", grep=TRUE, global=TRUE)
## Check which one is the y-axis
lapply(tickLabels, function(x) grid.get(x)$label)

## Add hyperlinks to the axis tick labels
library(gridSVG)
grid.hyperlink(tickLabels[[1]],
               href=links,
               group=FALSE)
## Export to SVG (and view in a browser)
grid.export("linked-plot.svg")

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