geom_bar ggplot2堆叠，成组的条形图，具有正值和负值-金字塔图

我什至不知道如何描述我试图正确生成的情节，这不是一个好的开始。我将首先向您显示我的数据，然后尝试解释/显示包含该数据元素的图像。

我的资料：

   strain condition count.up count.down
1    phbA  balanced      120       -102
2    phbA   limited      114       -319
3    phbB  balanced      122       -148
4    phbB   limited       97       -201
5   phbAB  balanced      268       -243
6   phbAB   limited      140       -189
7    phbC  balanced       55        -65
8    phbC   limited      104       -187
9    phaZ  balanced       99        -28
10   phaZ   limited      147       -205
11   bdhA  balanced      246       -159
12   bdhA   limited      143       -383
13  acsA2  balanced      491       -389
14  acsA2   limited      131       -295

我有七个样本，每个样本都有两个条件。对于这些样本中的每一个，我都有被下调的基因数量和被上调的基因数量（count.down和count.up）。

我想对此进行绘制，以便将每个样本分组。因此phbA平衡在phbA受限的情况下是可以避免的。每个条形图在图的正侧都有一部分（代表count.up＃），在图的负侧有一部分（代表count.down＃）。

我希望“平衡”状态下的条为一种颜色，而“有限”状态下的条为另一种颜色。理想情况下，每种颜色都有两个渐变（一个用于count.up，​​一个用于count.down），只是为了在条形图的两个部分之间产生视觉差异。

有些图像包含一些我要整合在一起的元素：

我还尝试应用了这个stackoverflow示例的一些内容，但是我不知道如何使它适用于我的数据集。我喜欢这里的pos v。neg酒吧；单个条形覆盖了两者及其颜色差异。这没有针对一个样本的条件分组，也没有区分条件的颜色编码额外层

我已经尝试了很多事情，但我做对了。我想我真的很挣扎，因为许多geom_bar示例都使用计数数据，该图会自行计算，在我将其提供给直接计数数据的位置。我似乎无法成功地在代码中进行这种区分，当我转移到该代码时，stat= "identity"一切都会变得混乱。任何想法或建议将不胜感激！

使用建议的链接：因此，我一直在将其作为模板，但我陷入了困境。

df <- read.csv("countdata.csv", header=T) 
df.m <- melt(df, id.vars = c("strain", "condition")) 
ggplot(df.m, aes(condition)) + geom_bar(subset = ,(variable == "count.up"),    aes(y = value, fill = strain), stat = "identity") + geom_bar(subset = ,(variable == "count.down"), aes(y = -value, fill = strain), stat = "identity") + xlab("") + scale_y_continuous("Export - Import",formatter = "comma") 

当我尝试运行ggplot行时，它返回错误：找不到函数“。”。我意识到我没有安装/加载dplyr，所以我做到了。然后我玩了很多，最后想到了：

library(ggplot2)
library(reshape2)
library(dplyr)
library(plyr)

df <- read.csv("countdata.csv", header=T)
df.m <- melt(df, id.vars = c("strain", "condition"))

#this is what the df.m looks like now (if you look at my initial input df, I    just changed in the numbers in excel to all be positive). Included so you can see what the melt does
df.m =read.table(text = "
strain condition   variable value
1    phbA  balanced   count.up   120
2    phbA   limited   count.up   114
3    phbB  balanced   count.up   122
4    phbB   limited   count.up    97
5   phbAB  balanced   count.up   268
6   phbAB   limited   count.up   140
7    phbC  balanced   count.up    55
8    phbC   limited   count.up   104
9    phaZ  balanced   count.up    99
10   phaZ   limited   count.up   147
11   bdhA  balanced   count.up   246
12   bdhA   limited   count.up   143
13  acsA2  balanced   count.up   491
14  acsA2   limited   count.up   131
15   phbA  balanced count.down   102
16   phbA   limited count.down   319
17   phbB  balanced count.down   148
18   phbB   limited count.down   201
19  phbAB  balanced count.down   243
20  phbAB   limited count.down   189
21   phbC  balanced count.down    65
22   phbC   limited count.down   187
23   phaZ  balanced count.down    28
24   phaZ   limited count.down   205
25   bdhA  balanced count.down   159 
26   bdhA   limited count.down   383
27  acsA2  balanced count.down   389
28  acsA2   limited count.down   295", header = TRUE)

该图按应变，两种情况下的count.up和count.down值绘制

ggplot(df.m, aes(strain)) + geom_bar(subset = .(variable == "count.up"), aes(y = value, fill = condition), stat = "identity") + geom_bar(subset = .(variable == "count.down"), aes(y = -value, fill = condition), stat = "identity") + xlab("") 

#this adds a line break at zero
labels <- gsub("20([0-9]{2})M([0-9]{2})", "\\2\n\\1",
           df.m$strain)


#this adds a line break at zero to improve readability
last_plot() + geom_hline(yintercept = 0,colour = "grey90")

我无法正常工作的一件事（不幸的是）是如何在每个条形框内显示代表“值”的数字。我已经得到了要显示的数字，但是我无法在正确的位置显示它们。我要疯了！

我的数据与上面相同；这是我的代码所在

我看了无数示例，在躲避的图上显示了使用geom_text的标签。我无法成功执行任何操作。我得到的最接近的信息如下-任何建议将不胜感激！

library(ggplot2)
library(reshape2)
library(plyr)
library(dplyr)
df <- read.csv("countdata.csv", header=T)
df.m <- melt(df, id.vars = c("strain", "condition"))
ggplot(df.m, aes(strain), ylim(-500:500)) + 
geom_bar(subset = .(variable == "count.up"), 
aes(y = value, fill = condition), stat = "identity", position = "dodge") +
geom_bar(subset = .(variable == "count.down"), 
aes(y = -value, fill = condition), stat = "identity", position = "dodge") + 
geom_hline(yintercept = 0,colour = "grey90")

last_plot() + geom_text(aes(strain, value, group=condition, label=label, ymax = 500, ymin= -500), position = position_dodge(width=0.9),size=4)

这给出了：

你为什么不结盟！

我怀疑我的问题与我实际绘制的方式有关，或者我没有正确告诉geom_text命令如何定位自身。有什么想法吗？