nev*_*int 22 curve r facet ggplot2
我有一个使用此代码创建的数据框:
require(reshape2)
foo <- data.frame( abs( cbind(rnorm(3),rnorm(3, mean=.8),rnorm(3, mean=.9),rnorm(3, mean=1))))
qux <- data.frame( abs( cbind(rnorm(3),rnorm(3, mean=.3),rnorm(3, mean=.4),rnorm(1, mean=2))))
bar <- data.frame( abs( cbind(rnorm(3,mean=.4),rnorm(3, mean=.3),rnorm(3, mean=.9),rnorm(3, mean=1))))
colnames(foo) <- c("w","x","y","z")
colnames(qux) <- c("w","x","y","z")
colnames(bar) <- c("w","x","y","z")
rownames(foo) <- c("n","q","r")
rownames(qux) <- c("n","q","r")
rownames(bar) <- c("n","q","r")
foo <- cbind(ID=rownames(foo),foo)
bar <- cbind(ID=rownames(bar),qux)
qux <- cbind(ID=rownames(bar),qux)
foo$fn <- "foo"
qux$fn <- "qux"
bar$fn <- "bar"
alldf<-rbind(foo,qux,bar)
alldf.m <- melt(alldf)
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我想要做的是创建一个facet格式的ggplot线条曲线,所以它创建一个如下图形:

实际图形不包含向上线 - 这只是一个草图,因此线条分离是清晰的.
我当前的代码不起作用:
library(ggplot2)
p <- ggplot(data=alldf.m, aes(x=variable)) +
geom_line(aes(colour=ID),alpha=0.4)
p <- p + facet_wrap( ~ fn)
p
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最好的方法是什么?
koh*_*ske 18
试试这个:
ggplot(data=alldf.m, aes(x=variable, y = value, colour = ID, group = ID)) +
geom_line() + facet_wrap(~fn)
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即使它是OP所需的ggplot2,但我认为这个例子也适用于lattice:
library(lattice)
xyplot(data=alldf.m, value~variable|fn, type ='b', groups = ID, auto.key = T)
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并使用 latticeExtra我们可以得到一些ggplot2解决方案:
p <- xyplot(data=alldf.m, value~variable|fn, type ='b', groups = ID, auto.key = T)
update(p , par.settings = ggplot2like())
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