跟进之前提出的问题（使用 ggplot 在“时间序列”中绘制深度范围），但有点完全相同。
使用 ggplot 我想要一个图来显示特定个体（例如 7303，参见下面的代码示例）深度范围如何在 3mnd 周期内围绕平均值（最小值和最大值）变化，使用geom_ribbon().
数据集中的变量；
names(df)
[1] "ID" "MONTH" "DAY" "MIN" "MEAN" "MAX" "date"
我如何选择一个人：
df<-Dybde_dag_gjsn[which(Dybde_dag_gjsn$ID=="7303"),]
我尝试了以下方法；
ggplot(data=df)+
geom_line(aes(x=date,y=-MEAN,group=ID,colour=as.factor(ID))) +
geom_ribbon(aes(x=date,ymin=-MIN,ymax=-MAX,group=ID),fill="grey") +
theme(legend.position="none")
但结果并不令人满意，只显示“垂直手段”而不是介于两者之间的手段：
我认为这与我的grouping factor（参考：书“ggplot2：用于数据分析的优雅图形（使用 R！）”第 50 页底部）有关。我使用 ID 作为差异图的分组因素，其中我在同一个图中有很多人，但当然这在这里不起作用，因为我现在只有一个ID。
我该如何解决这个问题？！我一直在阅读和阅读 ggplot 但一切都是徒劳的..
下面是它的代码示例：
> dput(df)
structure(list(ID = c(7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L, 7303L,
7303L, 7303L, 7303L, 7303L, 7303L, 7303L), MONTH = c(6L, 7L,
8L, 9L, 10L, 11L, 12L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 5L, 6L,
7L, 8L, 9L, 10L, 11L, 12L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L,
5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
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11L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
5L, 6L, 7L, 8L, 9L, 10L, 11L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 5L,
6L, 7L, 8L, 9L, 10L, 11L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 5L, 6L,
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9L, 10L, 11L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 5L, 6L, 7L, 8L, 9L,
10L, 11L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 5L, 6L, 7L, 8L, 9L, 10L,
11L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 5L, 7L, 8L, 10L), DAY = c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L,
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17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L,
18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L,
20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L,
22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L,
24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L,
26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L,
28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L,
30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L), MIN = c(11.802917,
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10.124375, 11.077708, 11.284375, 12.960625, 13.672917, 8.689535
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"MONTH", "DAY", "MIN", "MEAN", "MAX", "date"), row.names = 1128:1346, class = "data.frame")
我很感激所有的指点！干杯
更新：问题解决了，一切都很顺利；
