ggvis - add_legend 在图表中有多个数据和位置图例

ggvis - add_legend with multiple data and position legend inside graph

我正在尝试使用来自不同数据帧的数据在 ggvis 图中添加带有任意文本的图例。我试过使用 add_legend() 但我不知道要使用什么参数。使用 plot() 使用 legend() 函数非常简单,但是很难找到使用 ggvis()

的方法

这是我使用的一个简单示例 plot():

df1 = data.frame(x = sample(1:10), y = sample(1:10))
df2 = data.frame(x = 1:10, y = 1:10)
df3 = data.frame(x = 1:10, y = sqrt(1:10))

plot(df1)
lines(df2$x, df2$y, col = "red")
lines(df3$x, df3$y, col = "green")
legend("topleft", c("Data 2","Data 3"), lty = 1, col = c("red","green"))

现在,使用 ggvis() 我可以绘制来自不同数据集的点和线,但我找不到使用 add_legend() 放置图例的方法,这是使用 [=17] 的代码=]:

df1 %>% ggvis(x=~x,y=~y) %>% layer_points() %>% 
layer_paths(x=~x,y=~y,data = df2, stroke := "red") %>% 
layer_paths(x=~x,y=~y,data = df3, stroke := "green") 

非常感谢任何帮助。

谢谢。

已编辑:

这是一个仅使用一个数据帧的示例代码 plot()

df = data.frame(x = sample(1:10), y = sample(1:10), x2 = 1:10, y2 = 1:10, y3 = sqrt(1:10) )
plot(df[,c("x","y")])
lines(df$x2, df$y2, col = "red")
lines(df$x2, df$y3, col = "green")
legend("topleft", c("Data 2","Data 3"), lty = 1, col = c("red","green"))

所以,我想到的是以下有效的方法:

#add an id column for df2 and df3 and then rbind
df2$id <- 1
df3$id <- 2
df4 <- rbind(df2,df3)
#turn id into a factor
df4$id <- factor(df4$id)

#then plot df4 using the stroke=~id argument
#then plot the legend
#and finally add df1 with a separate data
df4 %>% ggvis(x=~x,y=~y,stroke=~id) %>% layer_lines() %>%
        add_legend('stroke', orient="left") %>%
        layer_points(x=~x,y=~y,data = df1,stroke:='black') 

有效:

如果您想将图例移动到图中的某个位置,那么您需要尝试这样做:

df4 %>% ggvis(x=~x,y=~y,stroke=~id) %>% layer_lines() %>%
  #make sure you use add relative scales
  add_relative_scales() %>%
  #values for x and y need to be between 0 and 1
  #e.g for the x-axis 0 is the at far-most left point and 1 at the far-right 
  add_legend("stroke", title = "Cylinders",
             properties = legend_props(
               legend = list(
                 x = scaled_value("x_rel", 0.1),
                 y = scaled_value("y_rel", 1)
               ))) %>%
  layer_points(x=~x,y=~y,data = df1,stroke:='black') 

并且输出: