ggplot2中的圆形图，其中线段连接在r中

Question

我正在尝试创建一个圆形图并且卡在某一点上：

dat1 <- data.frame (xvar = 1:10, y = 6, ymin = 4, ymax = 4.5)

使用这些数据，我可以在ggplot2中生成一个圆形带状图

require(ggplot2) 
 ggplot(dat1, aes(x=xvar, y=y)) +  geom_ribbon(aes(ymin=ymin, ymax=ymax),
  col = "blue", fill = "blue2") + ylim (c(0,6)) + coord_polar()

然而我想要更多。

我想使用以下数据用不同的颜色和标签填充功能区的片段。

 filld <- data.frame (start = c(1, 4, 6, 7.5, 8, 9), end = c(4, 6, 7.5, 8, 9, 10),
                         label = c("A", "B", "C", "A", "C", "D"))
  filld
##    start  end label
## 1   1.0  4.0     A
## 2   4.0  6.0     B
## 3   6.0  7.5     C
## 4   7.5  8.0     A
## 5   8.0  9.0     C
## 6   9.0 10.0     D

色带将通过标签变量填充不同的颜色。例如，段A将从1开始并以4结束。然后段B将以6开始和结束并填充不同的颜色。具有相同标签的段（例如A和C）将按行连接。

结果图将如下所示：

Answer 1

以下是一个例子：

filld$p <- rowMeans(subset(filld, select = c(start, end)))
ggplot(filld, aes(xmin = start, xmax = end, ymin = 4, ymax = 5, fill = label)) + 
  geom_rect() + 
  geom_segment(data = subset(filld, label %in% label[duplicated(label)]),
               aes(x = p, y = 0, xend = p, yend = 4, colour = label),
               size = 2, show_guide = FALSE) +
  geom_text(aes(x = p, y = 4.5, label = label), colour = "white", size = 10) +
  coord_polar() + 
  scale_y_continuous(limits = c(0, 5))

更新

我不建议这样的事情：

filld <- data.frame (start = c(1, 4, 6, 7.5, 8, 9), end = c(4, 6, 7.5, 8, 9, 10),
                     label = c("A", "B", "C", "A", "C", "D"))
filld$p <- rowMeans(subset(filld, select = c(start, end)))
filld <- merge(filld, ddply(filld, .(label), summarize, p2 = mean(p)))

lnd <- subset(filld, label %in% label[duplicated(label)])
lnd <- ddply(lnd, .(label), function(x) {
  x <- seq(x$p[1], x$p[2], length = 100)
  y <- 4.5 + ((x - mean(x))^2 - (x[1]-mean(x))^2) / (x[1]-mean(x))^2 * 3 + sin(x*3*pi) * 0.1
  data.frame(x, y)
})


p <- ggplot(filld, aes(xmin = start, xmax = end, ymin = 4, ymax = 5, colour = label, fill = label)) + 
  geom_line(aes(x, y, xmin = NULL, ymin = NULL, xmax = NULL, ymax = NULL), data = lnd, size = 2) +
  geom_rect() + 
  geom_text(aes(x = p, y = 4.5, label = label), colour = "white", size = 10) +
  coord_polar() + 
  scale_y_continuous(limits = c(0, 5))
p

也许，你想要的东西超出了ggplot2的范围。

Answer 2

看看ggbio。这个包将ggplot2和图形语法扩展到序列数据（生物信息学），但它们似乎解决了你的问题（例如见here）。看一下包的source code可能会引导您找到更通用的解决方案。

Answer 3

添加ymin等以填充d

fd <- data.frame(filld, ymin = 4, y =6, ymax = 4.5)

然后使用geom_rect列label作为fill和colour美学

 ggplot(fd, aes(x=start,xmin = start, xmax = end, y=y)) +  
   geom_rect(aes(ymin=ymin, ymax=ymax, fill = label )) + 
   ylim (c(0,6)) + 
   coord_polar() 

添加以下行：

## calculate the midpoint for each segment
fd$xmid <- apply(fd[,1:2],1,mean)
## get the replicate id for the labels (what occurence is this)
library(plyr)
library(reshape2)
fd1 <- ddply(fd, .(label), mutate, id = 1:length(xmid))
## reshape to wide, subsetting only with more than one rep
.lines <- na.omit(dcast(fd1, label~id, value.var = 'xmid'))
## add a mid point between the mid points
.lines$mid <- apply(.lines[,2:3],1,mean)
## reshape to long, and add some y values 
ld <- data.frame(arrange(melt(.lines,value.name = 'x'), label, x), y = rep(c(4,3,4),2))

ggplot(fd) +  
  geom_rect(aes(x=start,xmin = start, xmax = end, y=y,ymin=ymin, ymax=ymax, fill = label )) + 
  ylim (c(0,6)) + 
  coord_polar() + geom_path(data = ld, aes(x=x,y=y,colour = label))

线条很难看，但是那里！