Rom*_*rik 25 r ggplot2 plotly ggplotly
假设数据
library(ggplot2)
library(plotly)
set.seed(357)
xy <- data.frame(letters = rep(c("a", "b", "c"), times = 3),
values = runif(9),
groups = rep(c("group1", "group2", "group3"), each = 3))
letters values groups
1 a 0.9913409 group1
2 b 0.6245529 group1
3 c 0.5245744 group1
4 a 0.4601817 group2
5 b 0.2254525 group2
6 c 0.5898001 group2
7 a 0.1716801 group3
8 b 0.3195294 group3
9 c 0.8953055 group3
ggplotly(
ggplot(xy, aes(x = letters, y = values, group = groups)) +
theme_bw() +
geom_point()
)
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我的目标是在悬停时突出显示属于同一组的所有点.例如,将鼠标悬停在右上角的点上时,此组(圆圈)中的所有点都将变为红色.可以使用类似的东西来实现,layout(hovermode = "x")但只有当一个人有兴趣突出显示其中一个轴上的所有点时.我想自定义变量的相同行为x,y或者closest(它们是模式hovermode).
Wim*_*pel 25
这可能会满足您的需求
样本数据
set.seed(357)
xy <- data.frame(letters = rep(c("a", "b", "c"), times = 3),
values = runif(9),
groups = rep(c("group1", "group2", "group3"), each = 3))
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绘制
#create a SharedData object for use in the ggplot below, group by 'groups'
d <- highlight_key(xy, ~groups )
#create a normal ggplot to fit your needs, but use the SharedData object as data for the chart
p <- ggplot( d, aes(x = letters, y = values, group = groups)) + theme_bw() + geom_point()
#now ggplotly the newly created ggplot, and add text for the tooltips as needed
gg <- ggplotly( p, tooltip = "groups" )
#set the highlight-options to your liking, and plot...
highlight( gg, on = "plotly_hover", off = "plotly_deselect", color = "red" )
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情节结果