我试图在空间上成对分组堆叠,使得0W处理接近相应的6W处理,在不同处理对之间具有更大的空间。我已经包含了一个列“组”来显示哪些对应该组合在一起。
数据:
trt org time copy group
1 Notill_D0 0W fungi 0W 9.78e+07 a
2 Notill_D707 0W fungi 0W 1.55e+07 b
3 Native_D0 0W fungi 0W 4.02e+07 c
4 Native_D707 0W fungi 0W 1.04e+07 d
5 Notill_D0 6W fungi 6W 5.51e+07 a
6 Notill_D707 6W fungi 6W 1.43e+07 d
7 Native_D0 6W fungi 6W 1.60e+07 c
8 Native_D707 6W fungi 6W 8.64e+06 b
9 Notill_D0 0W bacteria 0W 2.98e+08 a
10 Notill_D707 0W bacteria 0W 7.79e+07 b
11 Native_D0 0W bacteria 0W 2.33e+08 c
12 Native_D707 0W bacteria 0W 2.20e+08 d
13 Notill_D0 6W bacteria 6W 3.37e+08 a
14 Notill_D707 6W bacteria 6W 8.84e+07 d
15 Native_D0 6W bacteria 6W 3.24e+08 c
16 Native_D707 6W bacteria 6W 1.89e+08 b
dput:
structure(list(trt = structure(c(5L, 7L, 1L, 3L, 6L, 8L, 2L,
4L, 5L, 7L, 1L, 3L, 6L, 8L, 2L, 4L), .Label = c("Native_D0 0W",
"Native_D0 6W", "Native_D707 0W", "Native_D707 6W", "Notill_D0 0W",
"Notill_D0 6W", "Notill_D707 0W", "Notill_D707 6W"), class = "factor"),
org = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L), .Label = c("bacteria", "fungi"), class = "factor"),
time = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 2L, 2L, 2L, 2L), .Label = c("0W", "6W"), class = "factor"),
copy = c(97800000, 15500000, 40200000, 10400000, 55100000,
14300000, 1.6e+07, 8640000, 2.98e+08, 77900000, 2.33e+08,
2.2e+08, 3.37e+08, 88400000, 3.24e+08, 1.89e+08), group = structure(c(1L,
2L, 3L, 4L, 1L, 4L, 3L, 2L, 1L, 2L, 3L, 4L, 1L, 4L, 3L, 2L
), .Label = c("a", "b", "c", "d"), class = "factor")), .Names = c("trt",
"org", "time", "copy", "group"), class = "data.frame", row.names = c(NA,
-16L))
代码:
colvec <-c("blue", "orange")
ggplot(Suz2, aes(factor(trt), copy)) +
geom_bar(aes(fill = factor(org)), stat="identity", width = 0.7) +
scale_fill_manual(values = colvec)+
theme(panel.background = element_rect(fill='white', colour='white'),
panel.grid = element_line(color = NA),
panel.grid.minor = element_line(color = NA),
panel.border = element_rect(fill = NA, color = "black"),
axis.text.x = element_text(size=10, colour="black", face = "bold"),
axis.title.x = element_text(vjust=0.1, face = "bold"),
axis.text.y = element_text(size=12, colour="black"),
axis.title.y = element_text(vjust=0.2, size = 12, face = "bold"))
答案 0 :(得分:3)
我认为你可以用facet
做你想做的事情,如果你制作的情节是p
,只需添加:
p + facet_wrap(~group,nrow = 1)
得到:
如果你有不同之处,请重新定义。