使用创建的堆积条形图我有一个非常烦人的问题ggplot2.之前有几个类似的问题,但在完成示例代码后,我无法弄清楚我做错了什么.
我想制作图表,以便按照以下顺序堆叠条形图Biogeographic.affinity:(从上到下= Bassian,Widespread,Torresian和Eyrean).条形的颜色应为:( Bassian = drakgrey,Widespread = lightgrey,Torresian = white,Eyrean = black).
这就是数据集的样子:
biogeo
Site Biogeographic.affinity Rank Number.of.species Total.Species Percent
1 A Bassian 1 1 121 0.8264463
2 A Eyrean 4 39 121 32.2314050
3 A Torresian 3 62 121 51.2396694
4 A Widespread 2 19 121 15.7024793
5 DD Bassian 1 1 128 0.7812500
6 DD Eyrean 4 46 128 35.9375000
7 DD Torresian 3 63 128 49.2187500
8 DD Widespread 2 18 128 14.0625000
9 E_W Bassian 1 1 136 0.7352941
10 E_W Eyrean 4 54 136 39.7058824
11 E_W Torresian 3 65 136 47.7941176
12 E_W Widespread 2 16 136 11.7647059
13 KS Bassian 1 2 145 1.3793103
14 KS Eyrean 4 63 145 43.4482759
15 KS Torresian 3 62 145 42.7586207
16 KS Widespread 2 18 145 12.4137931
17 Z_Ka Bassian 1 1 110 0.9090909
18 Z_Ka Eyrean 4 64 110 58.1818182
19 Z_Ka Torresian 3 31 110 28.1818182
20 Z_Ka Widespread 2 14 110 12.7272727
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这是我到目前为止编写的代码(包括我纠正问题的一些失败尝试).
ggplot(data=biogeo, aes(x=Site, y=Percent, fill=Biogeographic.affinity)) + geom_bar(stat="identity", colour="black")+
scale_fill_grey() + ylab("Percent") + xlab("Location") +
theme_bw()+ theme(panel.grid.minor = element_blank())
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这给出了基本图形,但颜色和顺序仍然是错误的.为了纠正我尝试的顺序,但这并没有改变任何东西(FRUSTRATED)!:
newone <- transform(biogeo, Biogeographic.affinity = factor(Biogeographic.affinity ), Rank = factor(Rank, levels = 1:4))
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至于颜色变化,我已经尝试过,似乎工作,但它看起来像订单仍然是错误的!
cols<- c("Bassian"="darkgrey","Widespread"="lightgrey", "Torresian"="white", "Eyrean"="black") #designates the colors of the bars
ggplot(data=newone, aes(x=Site, y=Percent, fill=Biogeographic.affinity)) + geom_bar(stat="identity", colour="black")+
scale_fill_manual(values = cols) + ylab("Percent") + xlab("Location") +
theme_bw()+ theme(panel.grid.minor = element_blank())
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请帮忙.
ags*_*udy 16
在ggplot2中堆叠的条形图中绘制条形图(从下到上)的顺序基于定义组的因子的顺序.因此必须重新排序Biogeographic.affinity因子.通常我们使用reorder(如果我们想按照连续的水平对因子进行排序),但在这里我将创建一个类似于您尝试的新的有序因子.
biogeo <- transform(biogeo,
Biog.aff.ord = factor(
Biogeographic.affinity ,
levels=c( 'Bassian','Widespread','Torresian', 'Eyrean'),
ordered =TRUE))
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现在,如果您使用Biog.aff.ord填充条形图而不是原始因子,并通过将aes_group_order定义为Biog.aff.ord顺序来覆盖默认分组顺序,则会得到预期结果:
cols <- c(Bassian="darkgrey",Widespread="lightgrey",
Torresian="white", Eyrean="black")
ggplot(data=biogeo, aes(x=Site, y=Percent,
order=Biog.aff.ord)) + ##!! aes_group_order
geom_bar(stat="identity", colour="black",
aes(fill=Biog.aff.ord)) +
scale_fill_manual(values = cols)
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