我有一个用下面的代码创建的数据框:
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)
我想要做的是以刻面格式创建一条ggplot
线曲线,这样就可以创建如下图形:
实际的图表不包含向上的线-这只是一个草图,以便线分离是清晰的。
我当前的代码不能工作:
library(ggplot2)
p <- ggplot(data=alldf.m, aes(x=variable)) +
geom_line(aes(colour=ID),alpha=0.4)
p <- p + facet_wrap( ~ fn)
p
做这件事最好的方法是什么?
发布于 2013-02-01 14:28:32
试试这个:
ggplot(data=alldf.m, aes(x=variable, y = value, colour = ID, group = ID)) +
geom_line() + facet_wrap(~fn)
发布于 2013-02-01 14:45:02
即使它是OP需要的ggplot2,但我认为这个示例也适用于lattice
:
library(lattice)
xyplot(data=alldf.m, value~variable|fn, type ='b', groups = ID, auto.key = T)
使用latticeExtra
,我们可以得到一些与ggplot2
解决方案类似的东西:
p <- xyplot(data=alldf.m, value~variable|fn, type ='b', groups = ID, auto.key = T)
update(p , par.settings = ggplot2like())
https://stackoverflow.com/questions/14640872
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