用ggplot2结合点与线 [英] Combine Points with lines with ggplot2
问题描述
我想绘制一个如下所示的时间系列:
code> qplot(Jahr,Wert,data = tu,group = Geschlecht,color = Altersgr)+ facet_grid(Geschlecht〜Land)
我的数据如下所示:
Land Altersgr Geschlecht Jahr Wert
1 DE < 20 J.m 2000 13.0
2 DE 20-< 65 J.m 2000 25.7
3 DE 65+ J.m 2000 70.1
4 DE 65-< 80 J.m 2000 44.2
5 DE 80+ J.m 2000 213.5
6 BB< 20 J. m 2000 26.8
目前一切都很好。但我必须用线连接相应的点(相同的颜色)。我无法弄清楚如何做到这一点。如果我使用geom_line(),我得到了这个结果:
这不是我想要的......我只是觉得我忽略了一些东西......
有什么建议吗?感谢您的帮助。 您可能会发现使用'group'aes可以帮助您获得想要的结果。例如:
tu < - expand.grid(Land = gl(2,1,labels = c(DE ,BB)),
Altersgr = gl(5,1,labels = letters [1:5]),
Geschlecht = gl(2,1,labels = c('m','
set.seed(42)
tu $ Wert < - unclass(tu $ Altersgr)* 200 + rnorm($ w $)),
Jahr = 2000: (0,1,2,0,0,10)
ggplot(tu,aes(x = Jahr,y = Wert,color = Altersgr,group = Altersgr))+
geom_point()+ geom_line()+
facet_grid(Geschlecht〜Land)
产生此处的图表:
I would like to plot a time series that look like this:
what I plot with:
qplot(Jahr, Wert, data=tu, group = Geschlecht, color = Altersgr) + facet_grid(Geschlecht ~ Land)
My data looks like this:
Land Altersgr Geschlecht Jahr Wert
1 DE < 20 J. m 2000 13.0
2 DE 20-<65 J. m 2000 25.7
3 DE 65+ J. m 2000 70.1
4 DE 65-<80 J. m 2000 44.2
5 DE 80+ J. m 2000 213.5
6 BB < 20 J. m 2000 26.8
Everything is fine so far. But I have to connect the corresponding points (same color) with a line. I couldn't figure out how to do that. If I use geom_line() I got this result:
Which is not what I want... I just have the feeling I overlook something...
Any suggestions? Thanks for y'all help.
You may find that using the `group' aes will help you get the result you want. For example:
tu <- expand.grid(Land = gl(2, 1, labels = c("DE", "BB")),
Altersgr = gl(5, 1, labels = letters[1:5]),
Geschlecht = gl(2, 1, labels = c('m', 'w')),
Jahr = 2000:2009)
set.seed(42)
tu$Wert <- unclass(tu$Altersgr) * 200 + rnorm(200, 0, 10)
ggplot(tu, aes(x = Jahr, y = Wert, color = Altersgr, group = Altersgr)) +
geom_point() + geom_line() +
facet_grid(Geschlecht ~ Land)
Which produces the plot found here:
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