ggplot 中的 Geom_area 顺序

我的样本队列数据在绘制时未进行颜色编码或按正确的时间顺序显示ggplot()。以下代码用于生成绘图：

library(ggplot2)

blues <- colorRampPalette(c('lightblue', 'darkblue'))

p <- ggplot(cohort.chart, aes(x=month, y=users, group=cohort))
p + geom_area(aes(fill = cohort)) +
  scale_fill_manual(values = blues(12)) +
  ggtitle('Users by cohort') +
  theme(plot.title = element_text(hjust = 0.5)) +
  theme(axis.text.x = element_text(angle = 45, hjust = 1))

正如您在图例中看到的，月份不是按时间顺序排列的，这也反映在情节中。我尝试过改变cohort和month to a yearmon对象与as.yearmon()但这会产生不能使用连续变量的错误。如何解决这个问题ggplot() ?

这是数据

> dput(cohort.chart)
structure(list(cohort = structure(c(11L, 10L, 3L, 5L, 4L, 8L, 
1L, 9L, 7L, 6L, 2L, 12L, 11L, 10L, 3L, 5L, 4L, 8L, 1L, 9L, 7L, 
6L, 2L, 12L, 11L, 10L, 3L, 5L, 4L, 8L, 1L, 9L, 7L, 6L, 2L, 12L, 
11L, 10L, 3L, 5L, 4L, 8L, 1L, 9L, 7L, 6L, 2L, 12L, 11L, 10L, 
3L, 5L, 4L, 8L, 1L, 9L, 7L, 6L, 2L, 12L, 11L, 10L, 3L, 5L, 4L, 
8L, 1L, 9L, 7L, 6L, 2L, 12L, 11L, 10L, 3L, 5L, 4L, 8L, 1L, 9L, 
7L, 6L, 2L, 12L, 11L, 10L, 3L, 5L, 4L, 8L, 1L, 9L, 7L, 6L, 2L, 
12L, 11L, 10L, 3L, 5L, 4L, 8L, 1L, 9L, 7L, 6L, 2L, 12L, 11L, 
10L, 3L, 5L, 4L, 8L, 1L, 9L, 7L, 6L, 2L, 12L, 11L, 10L, 3L, 5L, 
4L, 8L, 1L, 9L, 7L, 6L, 2L, 12L, 11L, 10L, 3L, 5L, 4L, 8L, 1L, 
9L, 7L, 6L, 2L, 12L), .Label = c("Apr 2017", "Aug 2017", "Dec 2016", 
"Feb 2017", "Jan 2017", "Jul 2017", "Jun 2017", "Mar 2017", "May 2017", 
"Nov 2016", "Oct 2016", "Sep 2017"), class = "factor"), month = structure(c(1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 
6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 
7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 
11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 
12L, 12L, 12L, 12L, 12L, 12L), .Label = c("Oct 2016", "Nov 2016", 
"Dec 2016", "Jan 2017", "Feb 2017", "Mar 2017", "Apr 2017", "May 2017", 
"Jun 2017", "Jul 2017", "Aug 2017", "Sep 2017"), class = "factor"), 
    users = c(795, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 672, 92, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 526, 48, 26, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 506, 37, 14, 26, 0, 0, 0, 0, 0, 0, 0, 0, 514, 
    46, 18, 19, 37, 0, 0, 0, 0, 0, 0, 0, 532, 47, 16, 18, 22, 
    57, 0, 0, 0, 0, 0, 0, 589, 55, 15, 20, 24, 39, 88, 0, 0, 
    0, 0, 0, 548, 53, 18, 21, 25, 39, 62, 172, 0, 0, 0, 0, 559, 
    53, 20, 20, 23, 36, 61, 139, 133, 0, 0, 0, 538, 58, 17, 18, 
    22, 39, 54, 130, 99, 109, 0, 0, 519, 45, 16, 19, 26, 39, 
    50, 125, 96, 86, 115, 0, 530, 54, 18, 20, 23, 37, 51, 129, 
    88, 75, 85, 126)), row.names = c(NA, -144L), .Names = c("cohort", 
"month", "users"), class = "data.frame")

该图应类似于以下内容：

根据您提供的数据框，您的month列处于正确的因子水平，但是您的cohort列不是，所以改变你的因素水平cohort列与您的相同month column.

library(ggplot2)

blues <- colorRampPalette(c('lightblue', 'darkblue'))

# Change the factor level
cohort.chart$cohort <- factor(cohort.chart$cohort, levels = levels(cohort.chart$month))

p <- ggplot(cohort.chart, aes(x=month, y=users, group=cohort))
p + geom_area(aes(fill = cohort)) +
  scale_fill_manual(values = blues(12)) +
  ggtitle('Users by cohort') +
  theme(plot.title = element_text(hjust = 0.5)) +
  theme(axis.text.x = element_text(angle = 45, hjust = 1))