在R中使用ggplot2在工具提示中编辑用于绘图的标签

我知道这个问题已经问过很多次了，但是我认为自从提出这些问题以来，plotly的一些基本语法已经改变了。使用ggplotly()创建Choropleth贴图时，默认工具提示为long，lat，group和我的美学变量之一。我了解工具提示仅映射美学方面的内容。我要做的就是自定义工具提示，以便它在我的数据集中显示一些变量（包括那些未映射到美学的变量），而不显示其他变量（例如坐标）。下面是一个可重现的示例，到目前为止我已经尝试过。我按照针对其他问题的建议无济于事。

#Load dependencies
library(rgeos)
library(stringr)
library(rgdal)
library(maptools)
library(ggplot2)
library(plotly)

#Function to read shapefile from website
dlshape=function(shploc, shpfile) {
  temp=tempfile()
  download.file(shploc, temp)
  unzip(temp)
  shp.data <- sapply(".", function(f) {
    fp <- file.path(temp, f)
    return(readOGR(".",shpfile))
  })
}

austria <- dlshape(shploc="http://biogeo.ucdavis.edu/data/gadm2.8/shp/AUT_adm_shp.zip", 
                   "AUT_adm1")[[1]]
#Create random data to add as variables
austria@data$example1<-sample(seq(from = 1, to = 100, by = 1), size = 11, replace = TRUE)
austria@data$example2<-sample(seq(from = 1, to = 100, by = 1), size = 11, replace = TRUE)
austria@data$example3<-sample(seq(from = 1, to = 100, by = 1), size = 11, replace = TRUE)

#Fortify shapefile to use w/ ggplot
austria.ft <- fortify(austria, region="ID_1")
data<-merge(austria.ft, austria, region="id", by.x = "id", by.y = "ID_1")

#Save as ggplot object    
gg<-ggplot(data, aes(x = long, y = lat, fill = example1, group = group)) + 
  geom_polygon() + geom_path(color="black",linetype=1) + 
  coord_equal() +
  scale_fill_gradient(low = "lightgrey", high = "darkred", name='Index') +xlab("")+ylab("") + 
  theme(axis.text = element_blank(), 
        axis.title = element_blank(), 
        axis.ticks = element_blank()) + 
  theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(), 
        panel.background = element_blank(), axis.line = element_line(colour = "black")) + 
  theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(), 
        panel.background = element_blank(), axis.line = element_line(colour = "black"))

#Plot using ggplotly
ggplotly(gg)

从这里开始，我尝试了两种不同的方法。其中最成功的方法之一就是使我进入其中。我可以在工具提示中添加新变量，但是我不能做两件事：1）我无法摆脱默认情况下已经显示的其他变量（从美观角度出发）； 2）我不能重命名这些变量，除了它们的列名之外。数据集（例如，我想将“ example3标记为“ Example III”）。这是这种方法：

#Save as a new ggplot object except this time add ``label = example3`` to the aesthetics
 gg2<-ggplot(data, aes(x = long, y = lat, fill = example1, group = group, label = example3)) + 
  geom_polygon() + geom_path(color="black",linetype=1) + 
  coord_equal() +
  scale_fill_gradient(low = "lightgrey", high = "darkred", name='Index') +xlab("")+ylab("") + 
  theme(axis.text = element_blank(), 
        axis.title = element_blank(), 
        axis.ticks = element_blank()) + 
  theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(), 
        panel.background = element_blank(), axis.line = element_line(colour = "black")) + 
  theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(), 
        panel.background = element_blank(), axis.line = element_line(colour = "black"))

#Save as plotly object then plot
gg2 <- plotly_build(gg2)
gg2

我也尝试添加以下内容，但没有执行任何操作：

gg2$data[[1]]$text <- paste("Example I:", data$example1, "<br>",
                           "Example II:", data$example2, "<br>",
                           "Example III:", data$example3)

任何帮助深表感谢！

更新：我plotly通过从github而不是CRAN安装进行更新。使用此更新的版本（4.0.0），我已将其分开。

gg2$x$data[[2]]$text <- paste("Example I:", data$example1, "<br>",
                             "Example II:", data$example2, "<br>",
                             "Example III:", data$example3)
gg2

现在发生的事情使我感到困惑。这将增加一个与前一个工具提示分开的工具提示。这个新的工具提示正是我想要的，但是两者都出现-不是一次出现，而是如果我左右移动鼠标。请参见下面的两个屏幕截图：

请注意，这些工具提示来自同一单位（Tirol）。这可能是程序包中的错误吗？当显示其他图形（例如时间序列）而不是地图时，不会发生这种情况。还要注意，我分配了标签“ Example I”（或II或III），这在我添加的新工具提示上没有显示。

UPDATE #2: I figured out that the old tooltip (with long and lat shown) only appears when hovering over the borders so I got rid of the geom_path(color="black",linetype=1) command (as to remove the borders) and now I've managed to successfully solve that problem. However, I'm still unable to modify the labels that appear in the tooltip.

UPDATE #3: I figured out how to edit the labels but FOR ONLY ONE VARIABLE. Which is nuts! Here's my workflow from start to finish:

 #Load dependencies
    library(rgeos)
    library(stringr)
    library(rgdal)
    library(maptools)
    library(ggplot2)
    library(plotly)

    #Function to read shapefile from website
    dlshape=function(shploc, shpfile) {
      temp=tempfile()
      download.file(shploc, temp)
      unzip(temp)
      shp.data <- sapply(".", function(f) {
        fp <- file.path(temp, f)
        return(readOGR(".",shpfile))
      })
    }

    austria <- dlshape(shploc="http://biogeo.ucdavis.edu/data/gadm2.8/shp/AUT_adm_shp.zip", 
                       "AUT_adm1")[[1]]
    #Create random data to add as variables
    austria@data$example1<-sample(seq(from = 1, to = 100, by = 1), size = 11, replace = TRUE)
    austria@data$example2<-sample(seq(from = 1, to = 100, by = 1), size = 11, replace = TRUE)
    austria@data$example3<-sample(seq(from = 1, to = 100, by = 1), size = 11, replace = TRUE)

    #Fortify shapefile to use w/ ggplot
    austria.ft <- fortify(austria, region="ID_1")
    data<-merge(austria.ft, austria, region="id", by.x = "id", by.y = "ID_1")

    #Save as ggplot object    
    gg<-ggplot(data, aes(x = long, y = lat, fill = example1, group = group, text = paste("Province:", NAME_1))) + 
      geom_polygon(color="black", size=0.2) + 
      coord_equal() +
      scale_fill_gradient(low = "lightgrey", high = "darkred", name='Index') +xlab("")+ylab("") + 
      theme(axis.text = element_blank(), 
            axis.title = element_blank(), 
            axis.ticks = element_blank()) + 
      theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(), 
            panel.background = element_blank(), axis.line = element_line(colour = "black")) + 
      theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(), 
            panel.background = element_blank(), axis.line = element_line(colour = "black"))


gg <- plotly_build(gg)
gg

That produces the following plot:

Notice that "Province" is now capitalized (it was not before). The trick was adding text = paste("Province:", NAME_1) to the aesthetics. HOWEVER, when I tried to add additional label changes using text2=paste("Example III:", example1), the following occurs:

Notice that it cannot render text2 the same way it renders text1. So instead I simply try adding a duplicate without the text2 like in the following: text=paste("Example III:", example1) -which produces the following odd result:

I'm beginning to think something as simple as toggling "legend" options in plotly's ggplot conversion is impossible. UPDATE #4: So I decided to approach this another way. Instead, I decided to change the variable names themselves. I would have done this from the start, except I wasn't sure if/how ggplot2 accepts variables with spaces -i figured out `variable` that can work. So I went ahead and relabeled the variables. It works -KINDA. The problem is the text appears with the quotations marks around them. Now I need a way to get rid of these!!! Any ideas anyone? Thanks! Here is an image of what I mean by quotations in the text: