R 如何创建堆叠线打印

在R中创建堆叠条形图有多种解决方案，但如何绘制堆叠线形图

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如果图表数据作为数据框提供，列中有“线”，行中有Y值，并且row.name是X值，则此脚本使用多边形函数创建堆叠的折线图

stackplot = function(data, ylim=NA, main=NA, colors=NA, xlab=NA, ylab=NA) {
  # stacked line plot
  if (is.na(ylim)) {
    ylim=c(0, max(rowSums(data, na.rm=T)))
  }
  if (is.na(colors)) {
    colors = c("green","red","lightgray","blue","orange","purple", "yellow")
  }
  xval = as.numeric(row.names(data))
  summary = rep(0, nrow(data))
  recent = summary

  # Create empty plot
  plot(c(-100), c(-100), xlim=c(min(xval, na.rm=T), max(xval, na.rm=T)), ylim=ylim, main=main, xlab=xlab, ylab=ylab)

  # One polygon per column
  cols = names(data)
  for (c in 1:length(cols)) {
    current = data[[cols[[c]]]]
    summary = summary + current
    polygon(
      x=c(xval, rev(xval)),
      y=c(summary, rev(recent)),
      col=colors[[c]]
    )
    recent = summary
  }
}

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可以使用

ggplot2

软件包创建堆叠线图

一些示例数据：

set.seed(11)
df <- data.frame(a = rlnorm(30), b = 1:10, c = rep(LETTERS[1:3], each = 10))

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只需在

geom\u行（position=“stack”）

中指定

position=“stack”

。例如：

dat <- data.frame(x = c(1:5,1:5),
              y = c(9:5, 10,7,5,3,1),
              type = rep(c("a", "b"), each = 5))

library(dplyr)
library(ggplot2)


dat %>% 
  ggplot(aes(fill = type,
             x = x,
             y = y,
         color = type,
         linetype = type)) +
  geom_line(position = "stack", size = 2) + # specify it here
  theme_bw()

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许多用户似乎在搜索堆叠条形图时发现了这个问题。查看此处：建议的调整：将

…

添加到参数列表中，以便所有

绘图

功能参数都可用。特别是，

xaxs=“i”

将消除堆叠图形和绘图边缘之间的空白。

dat <- data.frame(x = c(1:5,1:5),
              y = c(9:5, 10,7,5,3,1),
              type = rep(c("a", "b"), each = 5))

library(dplyr)
library(ggplot2)


dat %>% 
  ggplot(aes(fill = type,
             x = x,
             y = y,
         color = type,
         linetype = type)) +
  geom_line(position = "stack", size = 2) + # specify it here
  theme_bw()

    dat %>% 
  ggplot(aes(fill = type,
             x = x,
             y = y,
         color = type,
         linetype = type)) +
  geom_area(position="stack", 
            stat="identity",
            alpha = 0.5) +
  geom_line(position = "stack", size = 2) + 
  theme_bw()