R气泡图:标签重叠

时间:2015-08-05 13:38:51

标签: r direct-labels

尝试编写一个从聚合数据中返回气泡图的函数。

我在" agg"中传递了一个data.frame列。

aggs2 <- function(agg, deporur=0, all=TRUE){

  ##create aggregate from library data

  agg1 <- aggregate(agg, by=list(NoNA$IMD_NATIONAL_QUINTILE, NoNA$UR), 
                    FUN=function(x) c(mn=mean(x), n=length(x)))

  ##bind into a dataframe

  agg1 <- cbind(agg1[,1:2], agg1[,3])

  ##add column holding values of Deprivation Quantile and Urban/Rural status

  agg1$NewCol <- do.call(paste, c("Deprivation Quantile", agg1[c("Group.1", "Group.2")], 
                                  sep = " "))

  ##set column names

  colnames(agg1) <- c("Deprivation", "Urban and Rural", "Mean", "Count", "DepUR")

  ##remove categories with low counts

  if(all==FALSE){

    agg1 <- subset(agg1, agg1$Count > 9)

  }

  ##order data.frame by mean

  agg1 <- agg1[order(agg1$Mean, decreasing=TRUE),]

  ##create bubble chart
  if(deporur==1){

    radius3 <- sqrt(agg1$Count/pi)

    symbols(factor(agg1$DepUR), agg1$Mean, circles=radius3, inches=0.35, 
            xlim=c(0,10.0), ylim=c(min(agg1$Mean-0.25),10.0), fg="white", bg="purple",
            xlab="Deprivation Quantile and Urban/Rural Status", ylab="Mean Response")

    text(factor(agg1$DepUR), agg1$Mean-.1, agg1$DepUR, cex=0.7)
  }

  #return ordered dataframe
  agg1

}

这将按平均值返回已排序的data.frame,以及下面的图表:

Deprivation and Urban/Rural

因为这个函数需要从各种不同的文档和列创建图形,所以我想对它进行编码,使标签不与气泡或其他标签重叠。

我看过directlabels库,但我一直无法弄清楚如何正确编码。

非常感谢任何帮助。

1 个答案:

答案 0 :(得分:0)

我不知道有关其他标签和其他圈子的非重叠标签的任何解决方案。尽管如此,wordcloud::textplot可能是一个起点:

library(wordcloud)
set.seed(8)
df <- data.frame(x = runif(10), y = runif(10), size = sample(10:20, 10), lab = paste0("label", 1:10))
par(mfrow = c(1,2))
with(df, {
  plot(x, y, cex = size, pch = 19, col = adjustcolor("violet", alpha.f = .4), main = "non-overlapping")
  textplot(x, y, lab, new = FALSE, show.lines = FALSE, cex = 2)
  plot(x, y, cex = size, pch = 19, col = adjustcolor("violet", alpha.f = .4), main = "overlapping")
  text(x, y, lab, cex = 2)
})

enter image description here