我试图将下面的数据作为分组条形图绘制出来。我已经按照其他网友的建议更改了geom_bar
中的position=""
,但似乎并没有成功。我所得到的只是一个堆积条形图。这是我最近的尝试:
ggplot(data = IFNg, aes(x = IFNg$Location, y = IFNg$`Fold Change`)) +
geom_bar(position = 'identity', stat = "identity", fill = IFNg$Day) +
ylab("Fold Change (log_2)") + geom_errorbar(limits, width=0.15)
我也尝试了以下方法,结果是堆叠图,但此图的颜色不同:
ggplot(data = IFNg, aes(x = IFNg$Location, y = IFNg$`Fold Change`,
fill= IFNg$Day)) + geom_bar(position = 'identity', stat = "identity") +
ylab("Fold Change (log_2)") + geom_errorbar(limits, width=0.15)
以下是我的代码和数据:
dat <- structure(list(Day = c(1L, 3L, 7L, 21L, 1L, 3L, 7L, 21L, 1L,
3L, 7L, 21L), Order = c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L,
3L, 3L), Target = c("IFN-g", "IFN-g", "IFN-g", "IFN-g", "IFN-g",
"IFN-g", "IFN-g", "IFN-g", "IFN-g", "IFN-g", "IFN-g", "IFN-g"),
Location = c("Duodenum", "Duodenum", "Duodenum", "Duodenum",
"Duodenum (Lymph)", "Duodenum (Lymph)", "Duodenum (Lymph)",
"Duodenum (Lymph)", "Proximal Jejunum", "Proximal Jejunum",
"Proximal Jejunum", "Proximal Jejunum"), `Fold Change` = c(-1.750896098,
-2.194886907, -0.838822724, 0.680612172, -0.375563984, 0.650154987,
0.844897327, -0.228441603, -1.298230671, -1.173634963, -1.877736135,
0.787322978), StDev = c(0.027477611, 0.029974897, 0.19025044, 1.235986647,
0.055798435, 0.086102327, 0.115422155, 0.34470734, 0.020947691, 0.165294027,
0.040111751, 0.035010207)), .Names = c("Day", "Order", "Target", "Location",
"Fold Change", "StDev"), class = c("tbl_df", "data.frame"), row.names = c(NA,-12L))
IFNg <- dat[dat$Target == 'IFN-g', ]
limits <- aes(ymax = IFNg$`Fold Change` + IFNg$StDev,
ymin = IFNg$`Fold Change` - IFNg$StDev)
aes()
中不要使用$
。你可以使用data
参数告诉ggplot
使用哪个数据框。将向量x = data$column
传递给aes
而不是列名x = column
可能会导致问题。同样地,(但从另一方面来说),所有 美学映射到数据列都需要在aes()
中,包括fill = Day
。 - Gregor Thomasposition = "dodge"
。 - aosmithposition = "dodge"
在我的图表上没有任何变化。不确定为什么。 - James WadeDay
不是一个 factor。在aes
中使用fill = factor(Day)
。 - aosmith