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是否可以在显示 log10 值的 circlize 包中制作和弦图？到目前为止，我已经能够生成具有正确大小链接的图，但相应的轴将不匹配。该轴显示每个扇区的所有链接/记录值的总和，这是不正确的，因为对记录的值求和不对应于求和的原始值。有没有办法解决这个轴问题？

下面是我迄今为止尝试过的一个例子

library(circlize)

export_country <- c("DEU","USA","IDN","USA","IDN","USA","IDN","CAN","DEU","DEU","IDN","NZL","DEU","USA","USA","USA","IDN","SGP","IDN")
import_country <- c("JPN","JPN","USA","JPN","TWN","CAN","CHN","USA","CHN","CHN","DEU","JPN","USA","DNK","JPN","CHN","JPN","CHN","CHN")
flow <- c(2000,65780,78010,851,35353,845,738,120788,245900,90002,4426,6870,152681,78114,32591,19274,10915,23100,6275)

df <- data.frame(export_country, import_country, flow,stringsAsFactors = FALSE)


country = unique(c(df[[1]], df[[2]]))
color <- c("#E41A1C","#800000","#ff8c00","#ffd700","#008000","#00bfff","#377EB8",
               "#ff69b4","#800080","#4b0082")

df1 <- data.frame(country, color,stringsAsFactors = FALSE)

circos.clear()
circos.par(start.degree = 90, gap.degree = 5, track.margin = c(-0.1, 0.1), points.overflow.warning = FALSE)
par(mar = rep(0, 4))

chordDiagram(x = df[1:2],log10(df[3]), grid.col = color, transparency = 0.25,
         order = country, directional = 1,
         direction.type = c("arrows", "diffHeight"), diffHeight  = -0.04,
         annotationTrack = c("grid","axis"), annotationTrackHeight = c(0.05, 0.1),
         link.arr.type = "big.arrow", link.sort = TRUE, link.largest.ontop = TRUE)



circos.trackPlotRegion(
  track.index = 1, 
  bg.border = NA, 
  panel.fun = function(x, y) {
xlim = get.cell.meta.data("xlim")
sector.index = get.cell.meta.data("sector.index")
country = df1$country[df1$country == sector.index]

circos.text(x = mean(xlim), y = 4.4, 
            labels = country, facing = "bending", cex = 1, niceFacing = TRUE, adj = c(0.5, 0))

  }
 )

这给出 了以下情节

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1 回答 1

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我认为解决这个问题是不可能的。既然一个扇区是由几个链接组成的，如果扇区的大小是对数变换的，那么每个链接的宽度是什么意思呢？我认为我们最好忘记每个部门的规模，不要显示轴。另一方面，我们可以直接显示每个链接下方或上方的非对数转换值。

在下面的代码中，实际上，chordDiagram()返回一个包含每个链接位置的数据框，然后我们可以使用此信息将未记录的值添加到正确的位置。

另请注意chordDiagram()，您的代码中的第一个参数是错误的。我纠正了它。

library(circlize)

export_country <- c("DEU","USA","IDN","USA","IDN","USA","IDN","CAN","DEU","DEU","IDN","NZL","DEU","USA","USA","USA","IDN","SGP","IDN")
import_country <- c("JPN","JPN","USA","JPN","TWN","CAN","CHN","USA","CHN","CHN","DEU","JPN","USA","DNK","JPN","CHN","JPN","CHN","CHN")
flow <- c(2000,65780,78010,851,35353,845,738,120788,245900,90002,4426,6870,152681,78114,32591,19274,10915,23100,6275)

df <- data.frame(export_country, import_country, flow,stringsAsFactors = FALSE)
df[[3]] = log10(df[[3]])

country = unique(c(df[[1]], df[[2]]))
color <- c("#E41A1C","#800000","#ff8c00","#ffd700","#008000","#00bfff","#377EB8",
               "#ff69b4","#800080","#4b0082")

df1 <- data.frame(country, color,stringsAsFactors = FALSE)

circos.clear()
circos.par(start.degree = 90, gap.degree = 5, track.margin = c(-0.1, 0.1), points.overflow.warning = FALSE)
par(mar = rep(0, 4))

res = chordDiagram(x = df, grid.col = color, transparency = 0.25,
         order = country, directional = 1,
         direction.type = c("arrows", "diffHeight"), diffHeight  = -0.04,
         annotationTrack = c("grid"), annotationTrackHeight = c(0.05, 0.1),
         link.arr.type = "big.arrow", link.sort = TRUE, link.largest.ontop = TRUE)



circos.trackPlotRegion(
  track.index = 1, 
  bg.border = NA, 
  panel.fun = function(x, y) {
    xlim = get.cell.meta.data("xlim")
    sector.index = get.cell.meta.data("sector.index")
    country = df1$country[df1$country == sector.index]

    circos.text(x = mean(xlim), y = 1.5, 
                labels = country, facing = "bending", adj = c(0.5, 0), cex = 1, niceFacing = TRUE)

      }
 )

for(i in seq_len(nrow(res))) {
  circos.text(x = res$x1[i] - res$value[i]/2, y = 0.5, round(10^(res$value[i])), facing = "inside",
      niceFacing = TRUE, adj = c(0.5, 0.5), cex = 0.5, col = "white", sector.index = res$rn[i], track.index = 1)
  circos.text(x = res$x2[i] - res$value[i]/2, y = 0.5, round(10^(res$value[i])), facing = "inside",
      niceFacing = TRUE, adj = c(0.5, 0.5), cex = 0.5, col = "white", sector.index = res$cn[i], track.index = 1)
}

在此处输入图像描述

于 2016-09-20T19:28:35.413 回答