Question

这是我的输入数据集：

> names(breakingbad.episodes)
[1] "season"           "episode"          "epnum"            "epid"             "title"           
[6] "url.trakt"        "firstaired.utc"   "id.tvdb"          "rating"           "votes"           
[11] "loved"            "hated"            "overview"         "firstaired.posix" "year"            
[16] "zrating.season"   "src"

对于我的ggvis，我使用以下变量firstaired.posix和rating：

> str(breakingbad.episodes[c("firstaired.posix", "rating")])
'data.frame':   62 obs. of  2 variables:
$ firstaired.posix: POSIXct, format: "2008-01-21 02:00:00" "2008-01-28 02:00:00" "2008-02-  11 02:00:00" ...
$ rating          : num  87 85 84 84 83 90 87 85 88 83 ...

我使用包含ggvis信息的工具提示成功创建了rating，如下所示：

> breakingbad.episodes %>% 
ggvis(x = ~firstaired.posix, 
    y = ~rating, 
    fill = ~season) %>% 
layer_points() %>%
add_axis("x", title = "Airdate") %>%
add_axis("y", title = "Rating") %>%
add_legend("fill", title = "Season") %>%
add_tooltip(function(data){paste0("Rating: ", data$rating)}, "hover")

但实际上我希望工具提示包含更多数据，例如epid变量，所以我尝试了：

…
add_tooltip(function(data){paste0("Rating: ", data$rating, "\n", "Epid: ", as.character(data$epid))}, "hover")

...使用as.character()因为epid是一个有序因子 - 但工具提示的部分是空的。（我也注意到我想要插入的\n缺少的换行符，但这是一个不同的问题。）

看起来这个问题的原因是，通过将我的数据集导入vis而创建的ggvis对象并不包含我想要显示的信息，至少包含这些信息。为什么我通过在第一个例子中查看str()的输出来收集。

编辑：我解决了这个换行问题，所以没有必要指出?add_tooltip - 完全忘记了这一点。

编辑：接受的答案工作正常，即使它不允许我在工具提示中输入任意变量，它几乎是我的用例所需要的，谢谢！这就是我最后所做的事情：

breakingbad.episodes <- transform(breakingbad.episodes, id = paste0(epid, " - ", title))

breakingbad.episodes %>% 
  ggvis(x = ~firstaired.posix, 
      y = ~rating, 
      fill = ~season, 
      key := ~id) %>% 
  layer_points() %>%
  add_axis("x", title = "Airdate") %>%
  add_axis("y", title = "Rating") %>%
  add_legend("fill", title = "Season") %>%
  add_tooltip(all_values, "click")

Answer 1

是的，这是可能的。通常，客户端仅发回实际在图中的数据列。要获取其他列，您应该使用键来索引原始数据：这是一个简单的可重现示例

library(ggvis)
mtc <- mtcars
mtc$id <- 1:nrow(mtc)

all_values <- function(x) {
  if(is.null(x)) return(NULL)
  row <- mtc[mtc$id == x$id, ]
  paste0(names(row), ": ", format(row), collapse = "<br />")
}

mtc %>% ggvis(x = ~wt, y = ~mpg, key := ~id) %>%
  layer_points() %>%
  add_tooltip(all_values, "hover")

Answer 2

一种解决方法是在key属性中传递epid变量，这通常意味着跟踪哪些观察在转换期间彼此对应，但是它具有在数据中包含epid的所需效果产生任何副作用：

breakingbad.episodes <- data.frame(firstaired.posix = as.POSIXct(c("2008-01-21 02:00:00", "2008-01-28 02:00:00")),
rating = c(87, 85), epid = as.factor(c(12,23)), season = as.factor(c(1,2)), somevar = c("special", "very_special"))

breakingbad.episodes %>% 
  ggvis(x = ~firstaired.posix, 
        y = ~rating, 
        fill = ~season, key := ~epid) %>% 
  layer_points() %>%
  add_axis("x", title = "Airdate") %>%
  add_axis("y", title = "Rating") %>%
  add_legend("fill", title = "Season") %>%
  add_tooltip(function(data){paste0("Rating: ", data$rating, "\n", "Epid: ", as.character(data$epid))}, "hover")

如果您需要使用原始数据集中的多个变量，则可以为每行添加一个id列，其中包含唯一值，然后执行以下操作：

breakingbad.episodes <- data.frame(id = c(1,2), firstaired.posix = as.POSIXct(c("2008-01-21 02:00:00", "2008-01-28 02:00:00")),
rating = c(87, 85), epid = as.factor(c(12,23)), season = as.factor(c(1,2)), somevar = c("special", "very_special"))

breakingbad.episodes %>% 
  ggvis(x = ~firstaired.posix, 
        y = ~rating, 
        fill = ~season, key := ~id) %>% 
  layer_points() %>%
  add_axis("x", title = "Airdate") %>%
  add_axis("y", title = "Rating") %>%
  add_legend("fill", title = "Season") %>%
  add_tooltip(function(data){paste0("Rating: ", data$rating, "\n", "Epid: ",
as.character(breakingbad.episodes$epid[breakingbad.episodes$id == data$id]), "\n", 
"What this is: ", breakingbad.episodes$somevar[breakingbad.episodes$id == data$id])}, "hover")

将数据添加到输入数据集中包含但未直接在vis中的ggvis工具提示中

2 个答案: