ggVis:在不同的数据集上创建具有多个图层的图

Question

我正在尝试使用ggvis重现ggplot2图.该图旨在表示点的坐标(来自对应分析)以及它们的簇(hclust)标准色散椭圆.

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TL; DR

我想基于多个数据集制作一个包含多个图层的ggvis图.因此,功能/管道方法阻止我分组其中一个层而不是另一个.

整个(简要评论)代码在那里:https://gist.github.com/RCura/a135446cda079f4fbc10

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这是创建数据的代码:

 a <- rnorm(n = 100, mean = 50, sd = 5)

 b <- rnorm(n = 100, mean = 50, sd = 5)

 c <- rnorm(n = 100, mean = 50, sd = 5)

 mydf <- data.frame(A = a, B = b, C = c, row.names = c(1:100))

 library(ade4)

 myCA <- dudi.coa(df = mydf,scannf = FALSE,  nf = 2)

 myDist <- dist.dudi(myCA, amongrow = TRUE)

 myClust <- hclust(d = myDist, method = "ward.D2")

 myClusters <- cutree(tree = myClust, k = 3)

 myCAdata <- data.frame(Axis1 = myCA$li$Axis1, Axis2 = myCA$li$Axis2, Cluster = as.factor(myClusters))

 library(ellipse) # Compute Standard Deviation Ellipse

 df_ellipse <- data.frame()

 for(g in levels(myCAdata$Cluster)){
   df_ellipse <- rbind(df_ellipse,
                 cbind(as.data.frame(
                 with(myCAdata[myCAdata$Cluster==g,],
                 ellipse(cor(Axis1, Axis2),
                 level=0.7,
                 scale=c(sd(Axis1),sd(Axis2)),
                 centre=c(mean(Axis1),mean(Axis2))))),
                 Cluster=g))
 }

我可以通过ggplot2绘制这个:

library(ggplot2)

myPlot <- ggplot(data=myCAdata, aes(x=Axis1, y=Axis2,colour=Cluster)) +
  geom_point(size=1.5, alpha=.6) +
  geom_vline(xintercept = 0, colour="black",alpha = 0.5, linetype = "longdash" ) +
  geom_hline(xintercept = 0, colour="black", alpha = 0.5, linetype = "longdash" ) +
  geom_path(data=df_ellipse, aes(x=x, y=y,colour=Cluster), size=0.5, linetype=1)
myPlot

但我找不到如何使用ggvis绘制这个.

我可以绘制2个不同的图层:

library(ggvis)

all_values <- function(x) { paste0(names(x), ": ", format(x), collapse = "<br />")}

 ggDF <- myCAdata

 ggDF$name <- row.names(ggDF)

## Coordinates plot
myCoordPlot <- ggvis(x = ~Axis1, y = ~Axis2, key := ~name, data = ggDF) %>%

  layer_points(size := 15, fill= ~Cluster, data = ggDF) %>%

  add_tooltip(all_values, "hover")

 myCoordPlot

椭圆图(没有要求的工具提示)

 myEllPlot <- ggvis(data = df_ellipse, x = ~x,  y = ~ y) %>%

  group_by(Cluster) %>%

  layer_paths(x= ~x, y= ~y, stroke = ~Cluster, strokeWidth := 1)

 myEllPlot

但是当我想在同一个地块上绘制2个图层时:

 myFullPlot <- ggvis(data = df_ellipse, x = ~x,  y = ~ y) %>%

 layer_paths(x= ~x, y= ~y, stroke = ~Cluster, strokeWidth := 1) %>%

 layer_points(x = ~Axis1, y= ~Axis2, size := 15, fill= ~Cluster, data = ggDF) %>%

 add_tooltip(all_values, "hover")

 myFullPlot

省略号未分组,因此,颜色不适合,椭圆不分开.如果我尝试对我的省略号进行分组,则它不起作用:group_bys只需要group_by,它会使layer_points陷入混乱.

知道如何使这项工作？对于这篇很长的帖子感到抱歉,但我一直试图让这项工作工作几个小时:/

Answer 1

问题是,当您尝试将两者结合使用时,您不会Cluster在省略号数据集上进行group_by .您需要执行以下操作才能工作:

myFullPlot <- ggvis(data = df_ellipse, x = ~x, y = ~ y) %>% group_by(Cluster) %>%

  layer_paths(stroke = ~Cluster, strokeWidth := 1) %>%

  layer_points(x = ~Axis1, y= ~Axis2, size := 15, fill= ~Cluster, data = ggDF)

myFullPlot

这样你就得到了你想要的图形!

PS我假设你的数据创建有一些随机性,因为我得到的数据集与你的不同.