Continuing from your JUNK example:
xyplot(Creatinine + Estrogen + Ratio ~ Day, data=JUNK, type="l",
outer=TRUE, layout=c(1,3),
scales=list(y=list(relation="free")))
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On Thu, Feb 4, 2010 at 2:30 PM, Jacob Wegelin wrote:
>
> Often, when exploring a dataset, I'd like to plot several very different Y
> variables against the same X variable, in panels stacked one over the other.
> Is there an easy way to do this?
>
> I'd like to achieve an elegant look similar to t
Hi:
Here's a ggplot2 solution for your consideration:
Start by melting the data using package reshape; this stacks the response
variables and uses their names as factor levels in a conditioning plot:
library(ggplot2) # loads plyr and reshape in the process
junk <- melt(JUNK, id = "Day")
dim
As these are time series you can use plot.ts, plot.zoo or xyplot.zoo:
tt <- ts(JUNK[-1])
plot(tt)
library(zoo)
z <- zoo(JUNK[-1], JUNK[,1])
plot(z)
library(lattice)
xyplot(z)
On Thu, Feb 4, 2010 at 5:30 PM, Jacob Wegelin wrote:
>
> Often, when exploring a dataset, I'd like to plot several ver
Often, when exploring a dataset, I'd like to plot several very different Y
variables against the same X variable, in panels stacked one over the other. Is
there an easy way to do this?
I'd like to achieve an elegant look similar to the look achieved by lattice in
conditioned plots--for instan
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